2d:null 2e:["$","title",null,{"children":"5. Hardware - Mechanical Engineering | roboticsuniversity | Observable"}] 33:Tc22,Bill_of_materials = `bill of materials | Qt | Part | :us: USA | :it: Italy | :uk: UK | :netherlands: NL | Notes | |----|------|----------|------------|---------|------------------|-------| | 1 | NVIDIA Jetson Nano | [NVIDIA store](https://developer.nvidia.com/embedded/buy/jetson-nano-devkit) | | | | You can use **2Gb** or **4Gb** version
Buy this alternative carrier:
[SEEED studio](https://www.seeedstudio.com/Jetson-10-1-H0-p-5335.html) | | 1 | MicroSD card 64Gb | :us: $9.99
[Amazon](https://amzn.to/2X7rWpH) | :it:
[Amazon](https://amzn.to/3mxPCR1) | :uk:
[Amazon](https://amzn.to/3qv95mB) | :netherlands:
[Amazon](https://amzn.to/3pw9FS1) | | | 1 | 128GB NVM3 M.2 PCLe SSD | | | | | **Only for SEEED STUDIO carrier**
[NVMe M.2](https://www.seeedstudio.com/M-2-2280-SSD-128GB-p-5332.html) | | 1 | Wi-Fi Dongle 5Ghz | :us: $13.90
[Amazon](https://amzn.to/3mDiBTE) | :it:
[Amazon](https://amzn.to/3qOI3qP) | :uk:
[Amazon](https://amzn.to/3sJXsen) | :netherlands:
[Amazon](https://amzn.to/3HgC5FB) | | | 1 | Power Bank | :us: $29.99
[Amazon](https://amzn.to/2X8RNha) | :it:
[Amazon](https://amzn.to/3syJ4Wl) | :uk:
[Amazon](https://amzn.to/3ey5bnm) | :netherlands:
[Amazon](https://amzn.to/3mB7eMd) | [Power Bank dimensioning](/optional/power-bank) | | 2 | Pololu Micro Gearbox | :us: $25.75
[Amazon](https://amzn.to/3hS4o1P) | :it:
[Amazon](https://amzn.to/3JjEwZP) | :uk:
[Amazon](https://amzn.to/3ey58YI) | :netherlands:
[Amazon](https://amzn.to/3HgMG3j) | [Pololu 6V 150RPM](https://www.pololu.com/product/2368)
**alternative**:
[aliexpress.com](https://www.aliexpress.com/item/4000274747864.html) | | 1 | Adafruit motor control | :us: $29.10
[Amazon](https://amzn.to/392GhZU) | :it:
[Amazon](https://amzn.to/3psMwjk) | :uk:
[Amazon](https://amzn.to/3162czI) | :netherlands:
[Amazon](https://amzn.to/3H6VYPo) | [DC Motor + Stepper FeatherWing Add-on](https://www.adafruit.com/product/2927)
**alternative**:
[aliexpress.com](https://www.aliexpress.com/item/4001089410177.html) | | 2 | oled display | :us: $5
[Amazon](https://amzn.to/3ocB3kJ) | :it:
[Amazon](https://amzn.to/3EwAObC) | :uk:
[Amazon](https://amzn.to/3HavufG) | :netherlands:
[Amazon](https://amzn.to/3EwYaxK) | 128x64px 0.06in I2C
Best price pack:
[3 display](https://amzn.to/3d6Qgkv) | | 6 | Ball bearings **F686ZZ** | :us: $7.49
[Amazon](https://amzn.to/3dIs8DJ) | :it:
[Amazon](https://amzn.to/3z0zeh4) | :uk:
[Amazon](https://amzn.to/3qmJVqc) | :netherlands:
[Amazon](https://amzn.to/3Hay856) | **alternative**:
[aliexpress.com](https://www.aliexpress.com/item/32862353983.html) | | 10 | Magnets 4x2mm | :us: $10.99
[Amazon](https://amzn.to/3pwnnTp) | | | :netherlands:
[Amazon](https://amzn.to/3z1FgOD) | **alternative**:
[aliexpress.com](https://www.aliexpress.com/item/1005001530483863.html) | | - | Expansion board | | | | | [Expansion board](#expansion-board) | | - | 3D parts | | | | | [3D filaments](#3d-filaments) | | - | Hex M2 Screw set | :us: $10*
Amazon | | | | [Screw set](#screw-set) | `34:T4ca,{ // Define the inputs for progress, sides, offset, and threshold const progress = Inputs.range([0.001, 1], { step: 0.001, value: 0.4, label: "Progress" }); const sides = Inputs.range([3, 32], { step: 1, value: 32, label: "Sides" }); const offset = Inputs.range([-0.3, 0.3], { step: 0.01, value: 0.0, label: "Offset" }); const threshold = Inputs.checkbox(["Threshold"], { value: [] // initial unchecked }); // Function to draw based on input values function draw() { // regl.poll(); // Assuming you're using regl.js for rendering // regl.drawField({ // progress: progress.value, // Get value from progress slider // sides: sides.value, // Get value from sides slider // offset: offset.value, // Get value from offset slider // threshold: threshold.value.includes("Threshold") // Checkbox logic // }); } // Add event listeners to redraw whenever an input changes [progress, sides, offset, threshold].forEach((input) => input.addEventListener("input", draw) ); // Perform the initial draw draw(); // Return the HTML structure combining all inputs return html`${progress}${sides}${offset}${threshold}`; }35:T605,bun_cell_executed = { // const url = `https://shels-macbook-pro.jerboa-kokanue.ts.net/make-bun-cell`; const url = `${base_route}/make_bun_cell`; // import all bun examples as tests //import all deno examples as test const data = { file_name: "initial_test", bun_code: "console.log(fs.readdirSync('./'))" }; // const req = await d3.json(url, { // method: "POST", // body: JSON.stringify(data), // headers: { "Content-Type": "application/json" } // }); let req = fetch(url, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(data) // Data to be sent in the POST request }); let buffer = {}; req .then((response) => { if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } return response.json(); // Parse the JSON from the response }) .then((json) => { // buffer += JSON.stringify(json); Object.assign(buffer, json); console.log("Response Data:", json); // Handle the JSON data }) .catch((error) => { console.error("Error fetching data:", error); // Handle any errors }); // .then((response) => response.json()) // .then((data) => { // console.log(data); // buffer = data; // }) // .catch((error) => { // console.log(error); // // console.error("Error:", error); // }); return buffer; //learn docker, k8, slurm, (tree_sitter/acorn/browserify) // obs std runtime + github // eslint + code_mirror }36:T427,python_cell_executed = { //mojo / triton todo // const url = `https://shels-macbook-pro.jerboa-kokanue.ts.net/make-bun-cell`; const url = `${base_route}/make_python_cell`; // import all bun examples as tests //import all deno examples as test const data = { file_name: "initial_python_test", python_code: "print(os.listdir('./'))" }; let req = fetch(url, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(data) // Data to be sent in the POST request }); let buffer = {}; req .then((response) => { if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } return response.json(); // Parse the JSON from the response }) .then((json) => { // buffer += JSON.stringify(json); Object.assign(buffer, json); console.log("Response Data:", json); // Handle the JSON data }) .catch((error) => { console.error("Error fetching data:", error); // Handle any errors }); return buffer; }37:T6a3,// Basic sobel filter implementation // Jeroen Baert - jeroen.baert@cs.kuleuven.be // // www.forceflow.be // Use these parameters to fiddle with settings float step = 1.0; float intensity(in vec4 color){ return sqrt((color.x*color.x)+(color.y*color.y)+(color.z*color.z)); } vec3 sobel(float stepx, float stepy, vec2 center){ // get samples around pixel float tleft = intensity(texture(iChannel0,center + vec2(-stepx,stepy))); float left = intensity(texture(iChannel0,center + vec2(-stepx,0))); float bleft = intensity(texture(iChannel0,center + vec2(-stepx,-stepy))); float top = intensity(texture(iChannel0,center + vec2(0,stepy))); float bottom = intensity(texture(iChannel0,center + vec2(0,-stepy))); float tright = intensity(texture(iChannel0,center + vec2(stepx,stepy))); float right = intensity(texture(iChannel0,center + vec2(stepx,0))); float bright = intensity(texture(iChannel0,center + vec2(stepx,-stepy))); // Sobel masks (see http://en.wikipedia.org/wiki/Sobel_operator) // 1 0 -1 -1 -2 -1 // X = 2 0 -2 Y = 0 0 0 // 1 0 -1 1 2 1 // You could also use Scharr operator: // 3 0 -3 3 10 3 // X = 10 0 -10 Y = 0 0 0 // 3 0 -3 -3 -10 -3 float x = tleft + 2.0*left + bleft - tright - 2.0*right - bright; float y = -tleft - 2.0*top - tright + bleft + 2.0 * bottom + bright; float color = sqrt((x*x) + (y*y)); return vec3(color,color,color); } void mainImage( out vec4 fragColor, in vec2 fragCoord ){ vec2 uv = fragCoord.xy / iResolution.xy; vec4 color = texture(iChannel0, uv.xy); fragColor.xyz = sobel(step/iResolution[0], step/iResolution[1], uv); }38:Tc62,https://philip-haas.com/ Electro-Mechanical Engineering From miniature mechanical implants to large scale automated production lines, my industry experience runs the gamut. As a multi-discipline engineer I often find my place on a team is to bridge the divide between industrial design, mechanical engineers, and electrical engineering requirements to facilitate rapid product development. With my deep understanding of all manufacturing processes involved, DFM is implemented early in the design process providing faster transitions to medium & full scale deployment. PCBA Design & Manufacturing Schematic capture, layout, and routing of circuit boards ranging from single sided development boards to rigid-flex multilayer production assemblies. Component package generation for new or specialised chipsets to ensure seamless transition to manufacturing. Failure analysis and process control of PCB fabrication and PCBA population to ensure high-yield and minimal defects. Test and programming fixture design and production. Electro-Mechanical Prototyping Combining various rapid prototyping techniques, CNC machining, laser engraving, and small batch PCBA fabrication. Prototypes can be quickly produced in-house to facilitate all steps of the development process. From quick turn models for industrial design refinement, to 3D printed tooling for first turn part production. Circuit boards can populated in-house for rapid turn prototyping, hand rework of PCBs to adjust for design changes. Digital Prototypes Photo-realistic renderings of product designs to assist in all stages of development. Creating digital prototypes for team & investor buy-in can be a crucial step for both startups and established companies. Establishing required surface finishes and coloration to guide the electro-mechanical design process with material and post-processing guidelines. Specifications on material treatments or injection molded surface requirements provides for rapid transitions to manufacturing. Manufacturing With in-house 3-4 Axis CNC Milling, large format 5 axis CNC routers, CNC Laser / Plasma cutting, Small batch anodizing, powder coating, Fiber laser engraving, and soft goods manufacturing equipment; prototyping & first batch manufacturing can be completed quickly. Assisting in re-shoring of product manufacturing has been the key to success for many of my clients. Industrial Automation Automating manufacturing, assembly, & packaging can be a complex undertaking for any sized organization. Leveraging a combination of custom designed & fabricated equipment, OTS machinery, and streamlined internal processes to maximize throughput. Working around space requirements and necessary facility infrastructure upgrades to design staged automation rollouts. Reverse Engineering When working in industries with bespoke or highly specialized equipment & workflows defining key processes can be a challenge. I specialize in working with critical industries who endeavor to re-shore their technologies and processes. My goal is to expand access to technology & critical manufacturing infrastructure for enhancing quality of life and national security. 39:T762,{ const canvas = DOM.canvas(500, 500); const ctx = canvas.getContext("2d"); let firstPoint, lastPoint; canvas.style.border = "biue 1px solid"; function calculateDirection(start, end) { const deltaX = end.x - start.x; const deltaY = end.y - start.y; const radians = Math.atan2(deltaY, deltaX); const degrees = radians * (180 / Math.PI); return degrees; } let painting = false; function startPosition(e) { painting = true; firstPoint = { x: e.clientX - canvas.offsetLeft, y: e.clientY - canvas.offsetTop }; draw(e); } function endPosition() { painting = false; ctx.beginPath(); // Reset path const direction = calculateDirection(firstPoint, lastPoint); // window.direction = direction; console.log("Direction from first to last point: " + direction); } function draw(e) { if (!painting) return; console.log("hi"); lastPoint = { x: e.clientX - canvas.offsetLeft, y: e.clientY - canvas.offsetTop }; ctx.lineWidth = 5; ctx.lineCap = "round"; ctx.strokeStyle = "blue"; ctx.lineTo(e.clientX - canvas.offsetLeft, e.clientY - canvas.offsetTop); ctx.stroke(); ctx.beginPath(); ctx.moveTo(e.clientX - canvas.offsetLeft, e.clientY - canvas.offsetTop); } // Mouse Events canvas.addEventListener("mousedown", startPosition); canvas.addEventListener("mouseup", endPosition); canvas.addEventListener("mousemove", draw); // Clear the canvas function clearCanvas() { ctx.clearRect(0, 0, canvas.width, canvas.height); } // // Save canvas as an image // function saveImage() { // const link = document.createElement("a"); // link.download = "whiteboard.png"; // link.href = canvas // .toDataURL("image/png") // .replace("image/png", "image/octet-stream"); // link.click(); // } yield canvas; }3a:T31d8,/* This script provides a graphical interface to the digit recognition network. */ { //var loadData = require('./common.js').loadData let canvas = DOM.canvas(500, 500); canvas.style.border = "1px solid blue"; // canvas.width = 1; // canvas.height = 1; // yield canvas; // return canvas; try { // const regl = require("regl")({ // canvas: canvas, // extensions: ["oes_texture_float"], // onDone: function (err, regl) { // if (err) { // throw err; // } // } // }); const loadData = function (cb) { return cb({}); }; loadData(function (data) { // var cnnGpu = require("./gpu.js")(regl, data); // container for everything // var container = document.createElement("div"); // container.style.cssText = "margin: 0 auto; max-width: 760px;"; // center text. // container.style.fontWeight = "300"; // default font weight // container.style.fontSize = "1.0em"; // default font size // container.style.lineHeight = "1.6em"; // default line height // container.style.fontFamily = "'Roboto',Helvetica,sans-serif"; // container.style.color = "#393939"; // var str = // '

'; // container.innerHTML = str; // document.body.appendChild(container); // h1 heder // var par = document.createElement("h1"); // par.innerHTML = "GPU Deep Learning Demo"; // par.style.fontWeight = "400"; // par.style.fontSize = "2em"; // container.appendChild(par); // paragraph // par = document.createElement("p"); // par.innerHTML = [ // "Please draw a digit into this canvas.
", // '(It will probably only work in Firefox and Chrome. And it may not work on mobile. It should look like this)' // ].join("\n"); // container.appendChild(par); // create drawing canvas. // canvas = document.createElement("canvas"); // canvas.width = 280; // canvas.height = 280; // canvas.style.borderWidth = 1; // canvas.style.borderStyle = "solid"; // container.appendChild(canvas); var ctx = canvas.getContext("2d"); // digit display div // var digitPar = document.createElement("div"); // digitPar.innerHTML = ""; // digitPar.style.fontWeight = "800"; // digitPar.style.fontSize = "14em"; // digitPar.style.display = "inline"; // digitPar.style.marginLeft = "50px"; // container.appendChild(digitPar); // var btnDiv = document.createElement("div"); // function createBtn() { // var btn = document.createElement("button"); // btn.style.margin = "3px"; // btnDiv.appendChild(btn); // return btn; // } // create buttons // var btn = createBtn(); // btn.innerHTML = "Clear"; // btn.addEventListener( // "click", // function (e) { // ctx.clearRect(0, 0, canvas.width, canvas.height); // }, // false // ); // btn = createBtn(); // btn.innerHTML = "Recognize"; // btn.addEventListener( // "click", // function (e) { // recognize(); // }, // false // ); //container.appendChild(btnDiv); // h2 header // par = document.createElement("h2"); // par.innerHTML = "How does this work?"; // par.style.fontWeight = "400"; // par.style.fontSize = "1.4em"; // container.appendChild(par); // par = document.createElement("p"); // par.innerHTML = [ // "This demo does handwritten digit recognition by evaluating a Convolutional Neural Network on the GPU with WebGL.", // 'The network was trained in TensorFlow by this script, and the network was then reimplemented on the GPU by hand with WebGL.', // "The main purpose of the demo was to demonstate how our WebGL framework", // 'regl can be used to greatly simplify GPGPU programming in WebGL.', // "The secondary purpose was to test whether evaluating Deep Learning networks in WebGL is doable.", // "To our knowledge, our implementation is the first implementation ever to attempt GPU accelerating neural networks with WebGL", // "And we hope that this implementation will provide a foundation for people who, like us, wish to experiment with Deep Learning and WebGL", // 'The GPU implementation can be found here' // ].join("\n"); // container.appendChild(par); // add canvas listeners. canvas.addEventListener( "mousemove", function (e) { canvasListener("move", e); }, false ); canvas.addEventListener( "mousedown", function (e) { canvasListener("down", e); }, false ); canvas.addEventListener( "touchstart", function (e) { canvasListener("down", e); }, false ); canvas.addEventListener( "touchend", function (e) { canvasListener("up", e); }, false ); canvas.addEventListener( "touchmove", function (e) { canvasListener("move", e); }, false ); canvas.addEventListener( "mouseup", function (e) { canvasListener("up", e); }, false ); canvas.addEventListener( "mouseout", function (e) { canvasListener("out", e); }, false ); var lineWidth = 20; var isMousedown = false; function drawCircle(e) { var x = e.pageX - canvas.offsetLeft; var y = e.pageY - canvas.offsetTop; ctx.beginPath(); ctx.lineWidth = 1; ctx.arc(x, y, lineWidth / 2, 0, 2 * Math.PI); ctx.stroke(); ctx.closePath(); ctx.fill(); } function canvasListener(cmd, e) { if (cmd === "down") { isMousedown = true; drawCircle(e); } else if (cmd === "up") { isMousedown = false; } else if (cmd === "move" && isMousedown) { drawCircle(e); e.preventDefault(); // prevent any scrolling. } } // computes center of mass of digit, for centering // note 1 stands for black (0 white) so we have to invert. function centerImage(img) { var meanX = 0; var meanY = 0; var rows = img.length; var columns = img[0].length; var sumPixels = 0; for (var y = 0; y < rows; y++) { for (var x = 0; x < columns; x++) { var pixel = 1 - img[y][x]; sumPixels += pixel; meanY += y * pixel; meanX += x * pixel; } } meanX /= sumPixels; meanY /= sumPixels; var dY = Math.round(rows / 2 - meanY); var dX = Math.round(columns / 2 - meanX); return { transX: dX, transY: dY }; } // given grayscale image, find bounding rectangle of digit defined // by above-threshold surrounding function getBoundingRectangle(img, threshold) { var rows = img.length; var columns = img[0].length; var minX = columns; var minY = rows; var maxX = -1; var maxY = -1; for (var y = 0; y < rows; y++) { for (var x = 0; x < columns; x++) { if (img[y][x] < threshold) { if (minX > x) minX = x; if (maxX < x) maxX = x; if (minY > y) minY = y; if (maxY < y) maxY = y; } } } return { minY: minY, minX: minX, maxY: maxY, maxX: maxX }; } // take canvas image and convert to grayscale. Mainly because my // own functions operate easier on grayscale, but some stuff like // resizing and translating is better done with the canvas functions function imageDataToGrayscale(imgData) { var grayscaleImg = []; for (var y = 0; y < imgData.height; y++) { grayscaleImg[y] = []; for (var x = 0; x < imgData.width; x++) { var offset = y * 4 * imgData.width + 4 * x; var alpha = imgData.data[offset + 3]; // weird: when painting with stroke, alpha == 0 means white // alpha > 0 is a grayscale value in that case I simply take the R value if (alpha === 0) { imgData.data[offset + 0] = 255; imgData.data[offset + 1] = 255; imgData.data[offset + 2] = 255; } imgData.data[offset + 3] = 255; // simply take red channel value. Not correct, but works for // black or white images. grayscaleImg[y][x] = imgData.data[y * 4 * imgData.width + x * 4 + 0] / 255; } } return grayscaleImg; } function recognize() { // NOTE: We need to correctly center and downscale the image before we can feed it to the network. // The below code for doing that is not my code, but is MIT-licensed code adapted from this demo: // http://myselph.de/neuralNet.html // convert RGBA image to a grayscale array, then compute bounding rectangle and center of mass // var imgData = ctx.getImageData(0, 0, 280, 280); // var grayscaleImg = imageDataToGrayscale(imgData); // var boundingRectangle = getBoundingRectangle(grayscaleImg, 0.01); // // console.log('boundingRectangle ', boundingRectangle) // var trans = centerImage(grayscaleImg); // [dX, dY] to center of mass // console.log('trans ', trans) // copy image to hidden canvas, translate to center-of-mass, then // scale to fit into a 200x200 box (see MNIST calibration notes on // Yann LeCun's website) // var canvasCopy = document.createElement("canvas"); // canvasCopy.width = imgData.width; // canvasCopy.height = imgData.height; // var copyCtx = canvasCopy.getContext("2d"); // var brW = boundingRectangle.maxX + 1 - boundingRectangle.minX; // var brH = boundingRectangle.maxY + 1 - boundingRectangle.minY; // var scaling = 190 / (brW > brH ? brW : brH); // // scale // copyCtx.translate(canvas.width / 2, canvas.height / 2); // copyCtx.scale(scaling, scaling); // copyCtx.translate(-canvas.width / 2, -canvas.height / 2); // // translate to center of mass // copyCtx.translate(trans.transX, trans.transY); // // default take image from original canvas // copyCtx.drawImage(ctx.canvas, 0, 0); // // now bin image into 10x10 blocks (giving a 28x28 image) // imgData = copyCtx.getImageData(0, 0, 280, 280); // grayscaleImg = imageDataToGrayscale(imgData); // var nnInput = new Array(784); // for (var y = 0; y < 28; y++) { // for (var x = 0; x < 28; x++) { // var mean = 0; // for (var v = 0; v < 10; v++) { // for (var h = 0; h < 10; h++) { // mean += grayscaleImg[y * 10 + v][x * 10 + h]; // } // } // mean = 1 - mean / 100; // average and invert // nnInput[x + y * 28] = mean; // } // } // after we have processed the canvas, we can actually run the network now: //var res = cnnGpu(nnInput); //console.log("result: ", res); // output result to HTML //var actual = res.indexOf(Math.max.apply(null, res)); // digitPar.innerHTML = actual + ""; } }); } catch (e) { // document.body.innerHTML = // "Failed to initialize the demo because:

" +
    //   e +
    //   "

" + // 'But you can find a recorded gif of the demo by clicking here.'; } yield canvas; //hand writing - to bot }3b:T6d0,first_vis = { // Create a shared filter const $filter = vg.Selection.crossfilter(); // Shared attributes for the maps const attributes = [ vg.width(315), vg.height(550), vg.margin(0), vg.xAxis(null), vg.yAxis(null), vg.xDomain([297000, 297000 + 28.36 * 315]), vg.yDomain([57900, 57900 + 28.36 * 550]), // ensure aspect ratio of 1 vg.colorScale("symlog") ]; // Create two side-by-side maps const maps = vg.hconcat( vg.plot( vg.raster(vg.from("trips", { filterBy: $filter }), { x: "px", y: "py", imageRendering: "pixelated" }), vg.intervalXY({ as: $filter }), vg.text([{ label: "Taxi pickups" }], { dx: 10, dy: 10, text: "label", fill: "white", frameAnchor: "top-left" }), ...attributes, vg.colorScheme("turbo"), vg.frame({ stroke: "black" }) ), vg.hspace(10), vg.plot( vg.raster(vg.from("trips", { filterBy: $filter }), { x: "dx", y: "dy", imageRendering: "pixelated" }), vg.intervalXY({ as: $filter }), vg.text([{ label: "Taxi dropoffs" }], { dx: 10, dy: 10, text: "label", fill: "white", frameAnchor: "top-left" }), ...attributes, vg.colorScheme("turbo"), vg.frame({ stroke: "black" }) ) ); // Create the histogram const histogram = vg.plot( vg.rectY(vg.from("trips"), { x: vg.bin("time"), y: vg.count(), insetLeft: 0.5, insetRight: 0.5 }), vg.intervalX({ as: $filter }), vg.yTickFormat("s"), vg.xLabel("Hour of pickup"), vg.yLabel("Number of rides"), vg.width(640), vg.height(100) ); }3c:T1351, --- title: 1. Hardware Design and Repair --- "jetson nano - raspberry pi - arduino - esp32", "Connectivtiy with taisclae and bluetotth and starlink", "3d printing - ", "RTings for robots", # arm # roomba # camera-system # jetson # Hardware Design and Repair robot beep robot move arm move check status arm / robot https://nanosaur.ai/bill-of-materials/ https://github.com/rnanosaur/nanosaur bill of materials | Qt | Part | :us: USA | :it: Italy | :uk: UK | :netherlands: NL | Notes | |----|------|----------|------------|---------|------------------|-------| | 1 | NVIDIA Jetson Nano | [NVIDIA store](https://developer.nvidia.com/embedded/buy/jetson-nano-devkit) | | | | You can use **2Gb** or **4Gb** version
Buy this alternative carrier:
[SEEED studio](https://www.seeedstudio.com/Jetson-10-1-H0-p-5335.html) | | 1 | MicroSD card 64Gb | :us: $9.99
[Amazon](https://amzn.to/2X7rWpH) | :it:
[Amazon](https://amzn.to/3mxPCR1) | :uk:
[Amazon](https://amzn.to/3qv95mB) | :netherlands:
[Amazon](https://amzn.to/3pw9FS1) | | | 1 | 128GB NVM3 M.2 PCLe SSD | | | | | **Only for SEEED STUDIO carrier**
[NVMe M.2](https://www.seeedstudio.com/M-2-2280-SSD-128GB-p-5332.html) | | 1 | Wi-Fi Dongle 5Ghz | :us: $13.90
[Amazon](https://amzn.to/3mDiBTE) | :it:
[Amazon](https://amzn.to/3qOI3qP) | :uk:
[Amazon](https://amzn.to/3sJXsen) | :netherlands:
[Amazon](https://amzn.to/3HgC5FB) | | | 1 | Power Bank | :us: $29.99
[Amazon](https://amzn.to/2X8RNha) | :it:
[Amazon](https://amzn.to/3syJ4Wl) | :uk:
[Amazon](https://amzn.to/3ey5bnm) | :netherlands:
[Amazon](https://amzn.to/3mB7eMd) | [Power Bank dimensioning](/optional/power-bank) | | 2 | Pololu Micro Gearbox | :us: $25.75
[Amazon](https://amzn.to/3hS4o1P) | :it:
[Amazon](https://amzn.to/3JjEwZP) | :uk:
[Amazon](https://amzn.to/3ey58YI) | :netherlands:
[Amazon](https://amzn.to/3HgMG3j) | [Pololu 6V 150RPM](https://www.pololu.com/product/2368)
**alternative**:
[aliexpress.com](https://www.aliexpress.com/item/4000274747864.html) | | 1 | Adafruit motor control | :us: $29.10
[Amazon](https://amzn.to/392GhZU) | :it:
[Amazon](https://amzn.to/3psMwjk) | :uk:
[Amazon](https://amzn.to/3162czI) | :netherlands:
[Amazon](https://amzn.to/3H6VYPo) | [DC Motor + Stepper FeatherWing Add-on](https://www.adafruit.com/product/2927)
**alternative**:
[aliexpress.com](https://www.aliexpress.com/item/4001089410177.html) | | 2 | oled display | :us: $5
[Amazon](https://amzn.to/3ocB3kJ) | :it:
[Amazon](https://amzn.to/3EwAObC) | :uk:
[Amazon](https://amzn.to/3HavufG) | :netherlands:
[Amazon](https://amzn.to/3EwYaxK) | 128x64px 0.06in I2C
Best price pack:
[3 display](https://amzn.to/3d6Qgkv) | | 6 | Ball bearings **F686ZZ** | :us: $7.49
[Amazon](https://amzn.to/3dIs8DJ) | :it:
[Amazon](https://amzn.to/3z0zeh4) | :uk:
[Amazon](https://amzn.to/3qmJVqc) | :netherlands:
[Amazon](https://amzn.to/3Hay856) | **alternative**:
[aliexpress.com](https://www.aliexpress.com/item/32862353983.html) | | 10 | Magnets 4x2mm | :us: $10.99
[Amazon](https://amzn.to/3pwnnTp) | | | :netherlands:
[Amazon](https://amzn.to/3z1FgOD) | **alternative**:
[aliexpress.com](https://www.aliexpress.com/item/1005001530483863.html) | | - | Expansion board | | | | | [Expansion board](#expansion-board) | | - | 3D parts | | | | | [3D filaments](#3d-filaments) | | - | Hex M2 Screw set | :us: $10*
Amazon | | | | [Screw set](#screw-set) | --- title: Experiments --- --- sql: trips: nyc-taxi.parquet --- # Mosaic vgplot [Mosaic](https://uwdata.github.io/mosaic/) is a system for linking data visualizations, tables, and inputs, leveraging [DuckDB](./duckdb) for scalable processing. Mosaic includes an interactive grammar of graphics, [Mosaic vgplot](https://uwdata.github.io/mosaic/vgplot/), built on [Observable Plot](./plot). With vgplot, you can interactively visualize and explore millions — even billions — of data points. The example below shows the pickup and dropoff locations of one million taxi rides in New York City from Jan 1–3, 2010. The dataset is stored in a 8MB [Apache Parquet](./arrow#apache-parquet) file, generated with a [data loader](../data-loaders). The views above are coordinated: brushing a time window in the histogram, or a region in either map, will filter both maps. _What spatial patterns can you find?_ The code below creates three views, coordinated by Mosaic’s [crossfilter](https://uwdata.github.io/mosaic/api/core/selection.html#selection-crossfilter) helper. For more Mosaic examples, see the [Mosaic + Framework](https://uwdata.github.io/mosaic-framework-example/) website. 3d:Tea2,{ return { "Introduction to Robotic Systems": { "1.1": "Overview of robotic systems and their applications", "1.2": "Fundamentals of robotics and automation", "1.3": "Introduction to robotic design principles" }, "Mechanical Arm Design": { "2.1": "Kinematics and dynamics of robotic arms", "2.2": "Mechanical design considerations for robotic arms", "2.3": "Actuators and transmission systems for robotic arms", "2.4": "Case studies and examples of robotic arm designs" }, "Mechanical Finger Design": { "3.1": "Anatomy and biomechanics of human fingers", "3.2": "Design principles for robotic fingers", "3.3": "Actuation and control systems for robotic fingers", "3.4": "Grasping and manipulation strategies for robotic fingers" }, "Robotic Locomotion": { "4.1": "Overview of robotic locomotion techniques", "4.2": "Wheeled and tracked locomotion systems", "4.3": "Legged locomotion systems", "4.4": "Bioinspired and hybrid locomotion systems" }, "Sensor Design for Robotics": { "5.1": "Introduction to sensors in robotic systems", "5.2": "Proprioceptive sensors (encoders, potentiometers, etc.)", "5.3": "Exteroceptive sensors (vision, tactile, proximity, etc.)", "5.4": "Sensor fusion and integration in robotic systems" }, "Robotic Control Systems": { "6.1": "Introduction to robotic control architectures", "6.2": "Motion planning and trajectory generation", "6.3": "Feedback control systems for robotics", "6.4": "Advanced control techniques (adaptive, robust, learning-based)" }, "Robotic Perception and Computer Vision": { "7.1": "Introduction to robotic perception", "7.2": "Image processing techniques for robotics", "7.3": "Object detection and recognition in robotic systems", "7.4": "3D vision and point cloud processing" }, "Robotic Grasping and Manipulation": { "8.1": "Grasping theory and taxonomy", "8.2": "Grasp planning and optimization", "8.3": "Dexterous manipulation and in-hand manipulation", "8.4": "Collaborative manipulation and human-robot interaction" }, "Robotic Navigation and Mapping": { "9.1": "Introduction to robotic navigation", "9.2": "Localization and mapping techniques (SLAM)", "9.3": "Path planning and obstacle avoidance", "9.4": "Autonomous navigation in complex environments" }, "Robotic Learning and Adaptation": { "10.1": "Introduction to machine learning for robotics", "10.2": "Supervised learning techniques for robotic systems", "10.3": "Reinforcement learning for robotic control", "10.4": "Transfer learning and domain adaptation in robotics" }, "Robotic Simulation and Prototyping": { "11.1": "Introduction to robotic simulation tools", "11.2": "Physics-based simulation for robotic systems", "11.3": "Rapid prototyping techniques for robotics", "11.4": "Hardware-in-the-loop simulation and testing" }, "Robotic Ethics and Safety": { "12.1": "Ethical considerations in robotic design and deployment", "12.2": "Safety standards and regulations for robotic systems", "12.3": "Risk assessment and mitigation strategies", "12.4": "Human-robot interaction safety and trust" }, "Future Trends and Applications in Robotics": { "13.1": "Emerging technologies in robotics (soft robotics, micro-robotics, etc.)", "13.2": "Robotics in manufacturing and industry", "13.3": "Robotics in healthcare and assistive technologies", "13.4": "Space and underwater robotics applications" } }; }3e:Ta98,nanosaur_BOM = { const bom = [ { Qt: 1, Part: "NVIDIA Jetson Nano", USA: "$118 Amazon", Italy: "", UK: "", Netherlands: "https://www.amazon.com/gp/product/B0C5DMKFYW/ref=ox_sc_act_title_1?smid=A50C560NZEBBE&psc=1", Notes: "You can use 2Gb or 4Gb version. Buy this alternative carrier: SEEED studio" }, { Qt: 1, Part: "MicroSD card 64Gb", USA: "$9.99 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "" }, { Qt: 1, Part: "128GB NVM3 M.2 PCLe SSD", USA: "0", Italy: "", UK: "", Netherlands: "", Note_eggnog: "not really needed but cool", Notes: "Only for SEEED STUDIO carrier, NVMe M.2" }, { Qt: 1, Part: "Wi-Fi Dongle 5Ghz", USA: "$13.90 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "" }, { Qt: 1, Part: "Power Bank", USA: "$29.99 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "Power Bank dimensioning" }, { Qt: 2, Part: "Pololu Micro Gearbox", USA: "$25.75 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "Pololu 6V 150RPM alternative: aliexpress.com" }, { Qt: 1, Part: "Adafruit motor control", USA: "$29.10 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "DC Motor + Stepper FeatherWing Add-on alternative: aliexpress.com" }, { Qt: 2, Part: "oled display", USA: "$5 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "128x64px 0.06in I2C, Best price pack: 3 display" }, { Qt: 6, Part: "Ball bearings F686ZZ", USA: "$7.49 Amazon", Italy: "Amazon", UK: "Amazon", Netherlands: "Amazon", Notes: "alternative: aliexpress.com" }, { Qt: 10, Part: "Magnets 4x2mm", USA: "$10.99 Amazon", Italy: "", UK: "", Netherlands: "Amazon", Notes: "alternative: aliexpress.com" }, { Qt: "-", Part: "Expansion board", USA: "", Italy: "", UK: "", Netherlands: "", Notes: "Expansion board" }, { Qt: "-", Part: "3D parts", USA: "", Italy: "", UK: "", Netherlands: "", Notes: "3D filaments" }, { Qt: "-", Part: "Hex M2 Screw set", USA: "$10* Amazon", Italy: "", UK: "", Netherlands: "", Notes: "Screw set" } ]; return bom; }3f:T4ca,html``40:[{"id":"1002367e1ce74e0dd45ebf1eda13eb37244df518f39c59739c1bbb15496655d82f91a76ab6d261ae94c1f578968f9aaf1e7f15d571b5da5ada16ae247d94f3fd","href":"https://static.observableusercontent.com/files/1002367e1ce74e0dd45ebf1eda13eb37244df518f39c59739c1bbb15496655d82f91a76ab6d261ae94c1f578968f9aaf1e7f15d571b5da5ada16ae247d94f3fd","name":"image.png","type":"image/png","lastModified":1728500039081.279,"size":1337871},{"id":"3788ec480b08af6b65303d84d9248964c2a65011d9b0ee71f31f279b6c7757fb47af98c81713c25339fabbf9bdee89eee6f4e5da6a5ed2023403320b0b159bd9","href":"https://static.observableusercontent.com/files/3788ec480b08af6b65303d84d9248964c2a65011d9b0ee71f31f279b6c7757fb47af98c81713c25339fabbf9bdee89eee6f4e5da6a5ed2023403320b0b159bd9","name":"Screenshot 2024-10-18 at 11.33.22 AM.png","type":"image/png","lastModified":1729276512565.026,"size":998704}] 31:{"id":"26868ea15e5767bd","slug":"hardware","title":"5. Hardware - Mechanical Engineering","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2024-10-06T20:46:57.289Z","update_time":"$D2024-12-10T12:47:19.400Z","view_time":null,"first_public_time":"$D2024-10-06T20:46:57.289Z","has_unpublished_edits":null,"fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"df8a3b9f1fb1bf7a","login":"roboticsuniversity","name":"","avatar_url":"https://avatars-next.observableusercontent.com/fa5cce8aeddbecca959c57aadec29ac4c7bf5e0a2992006afc6d656a47f0a263","tier":"starter_2024"},"version":727,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"75d68567c80044f2","login":"robotics-odyssey","name":"dynabot.dev","avatar_url":"https://avatars-next.observableusercontent.com/d02e2548205cd8b455dff2b0d8409409d16de01aa99ae068e6b16ac217eb523d","tier":null}],"members":[{"type":"individual","id":"75d68567c80044f2","login":"robotics-odyssey","name":"dynabot.dev","avatar_url":"https://avatars-next.observableusercontent.com/d02e2548205cd8b455dff2b0d8409409d16de01aa99ae068e6b16ac217eb523d","tier":null,"role":"editor"},{"type":"team","id":"df8a3b9f1fb1bf7a","login":"roboticsuniversity","name":"","avatar_url":"https://avatars-next.observableusercontent.com/fa5cce8aeddbecca959c57aadec29ac4c7bf5e0a2992006afc6d656a47f0a263","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"c9c8c7078e9b3ac0","slug":"robotics-odyssey","title":"Robotics-Odyssey","owner":{"id":"df8a3b9f1fb1bf7a","login":"roboticsuniversity","name":""}},"type":"notebook","body":{"title":"5. Hardware - Mechanical Engineering","cells":[{"id":0,"value":"# 5. [Hardware - Mechanical Engineering](https://observablehq.com/@roboticsuniversity/robotics-hardware)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":722,"value":"$33","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":724,"value":"md`Bill of materials ${Bill_of_materials}`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":715,"value":"rtings --- use llama in the loop to parse all hardware companies ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":146,"value":"LOGO = html` $\"image.png\"$ `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":685,"value":"zed_2i = {\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":688,"value":"trossen = {\n //try dynamixelSDK - directly via JS/ZIG\n // try huggingface - lerobot\n\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":679,"value":"roomba_ = html``","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":521,"value":"import { viewof set } from \"@enjalot/t-sne-grid-selector\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":524,"value":"set","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":526,"value":"import {\n viewof input,\n drawing\n} from \"@enjalot/replicate-api-controlnet-scribble\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":537,"value":"_ = drawing() // draw = design hardware components","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":178,"value":"\n\n# [] trossen\n# [] zed2i\n# [X] roomba\n# [x] webgpu (three.js, rust sdf-physics)\n\nhttps://github.com/denoland/webgpu-examples\nhttps://wgpu.rs/examples/?backend=webgpu&example=water","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":519,"value":"// import { Whiteboard } from 'whiteboard-react';\n\n// ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":228,"value":"//JSON.parse(bun_cell_executed.stdout)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":219,"value":"//visualize entire deps map of each file + mini_zoox","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":245,"value":"deno_demo_code = d3.text(\n \"https://raw.githubusercontent.com/denoland/webgpu-examples/refs/heads/main/cube/mod.ts\"\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":268,"value":"html`

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":272,"value":"html`

\nhttps://github.com/denoland/webgpu-examples/blob/main/boids/mod.ts\nhttps://observablehq.com/@tmcw/observable-anti-patterns-and-code-smells\nhttps://io.google/2024/speakers/austin-eng/`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":564,"value":"https://login.tailscale.com/admin/invite/e4rP9sJ59bJ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":302,"value":"html`

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":290,"value":"viewof randomize = html``","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":386,"value":"lightFactory = function lightFactory(_) {\n return { pos: { x: 0, y: 0, z: 0 }, color: \"#ffffff\", fov: 60 };\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":314,"value":"lightSliders = {\n const i = 0;\n let xSlider = Inputs.range([-20, 20], {\n label: `Light ${i + 1} X`,\n value: lightFactory().pos.x\n });\n let ySlider = Inputs.range([-20, 20], {\n label: `Light ${i + 1} Y`,\n value: lightFactory().pos.y\n });\n let zSlider = Inputs.range([-20, 20], {\n label: `Light ${i + 1} Z`,\n value: lightFactory().pos.z\n });\n let colorPicker = Inputs.color({\n label: `Light ${i + 1} Color`,\n value: lightFactory().color\n });\n let fovSlider = Inputs.range([30, 120], {\n label: `Light ${i + 1} FOV`,\n value: lightFactory().fov\n });\n\n return html`${fovSlider}${colorPicker}${zSlider}${ySlider}${xSlider}`;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":345,"value":"//https://observablehq.com/d/82142d5b142796ea#cell-618","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":347,"value":"$34","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":317,"value":"entitySlider = {\n const colorPicker = Inputs.range([0.001, 1], {\n step: 0.001,\n value: 0.4,\n label: \"colorPicker\"\n });\n\n const rotationSpeedSlider = Inputs.range([3, 32], {\n step: 1,\n value: 32,\n label: \"rotationSpeedSlider\"\n });\n\n const offset = Inputs.range([-0.3, 0.3], {\n step: 0.01,\n value: 0.0,\n label: \"Offset\"\n });\n const entities = [...Array(3).keys()].map((i) => ({\n rotationSpeed: 0,\n color: \"#00ff00\"\n }));\n\n const sliders = entities.map((entity, i) => {\n return {\n entity,\n rotationSpeedSlider: Inputs.range([-1, 1], {\n label: `Cube ${i + 1} Rotation Speed`,\n value: entity.rotationSpeed\n }),\n colorPicker: Inputs.color({\n label: `Cube ${i + 1} Color`,\n value: entity.color\n })\n };\n });\n\n return html`${offset}${rotationSpeedSlider}${colorPicker}`;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":443,"value":"viewof LightPositionX = Inputs.range([0, 100], {\n label: \"Light position x\",\n value: 50\n})\n//cmd -enter","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":495,"value":"viewof lightPositionY = Inputs.range([0, 100], {\n label: \"Light position y\",\n value: 50\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":492,"value":"viewof lightPositionZ = Inputs.range([0, 100], {\n label: \"Light position z\",\n value: 50\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":490,"value":"viewof lightColorR = Inputs.range([0, 255], {\n label: \"Light color r\",\n value: 125\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":487,"value":"viewof lightColorG = Inputs.range([0, 255], {\n label: \"Light color g\",\n value: 125\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":482,"value":"viewof lightColorB = Inputs.range([0, 255], {\n label: \"Light color b\",\n value: 125\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":477,"value":"viewof lightFOV = Inputs.range([0, 180], { label: \"Light FOV\", value: 90 })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":474,"value":"viewof lightDepthNear = Inputs.range([0, 100], {\n label: \"Light near plane\",\n value: 1\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":471,"value":"viewof lightDepthFar = Inputs.range([0, 100], {\n label: \"Light far plane\",\n value: 100\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":468,"value":"viewof entityColorR = Inputs.range([0, 255], {\n label: \"Entity color r\",\n value: 125\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":465,"value":"viewof entityColorG = Inputs.range([0, 255], {\n label: \"Entity color g\",\n value: 125\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":462,"value":"viewof entityColorB = Inputs.range([0, 255], {\n label: \"Entity color b\",\n value: 125\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":459,"value":"viewof entityRotationSpeed = Inputs.range([0, 100], {\n label: \"Entity rotation speed\",\n value: 50\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":456,"value":"viewof ambientLightIntensity = Inputs.range([0, 100], {\n label: \"Ambient light intensity\",\n value: 50\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":453,"value":"viewof numberOfActiveLights = Inputs.range([0, 10], {\n label: \"Number of active lights\",\n value: 1\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":450,"value":"viewof shadowBias = Inputs.range([-1, 1], { label: \"Shadow bias\", value: 0 })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":447,"value":"viewof shadowBiasSlopeScale = Inputs.range([-1, 1], {\n label: \"Shadow bias slope scale\",\n value: 0\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":441,"value":"\nLight position (x, y, z components)\nLight color (r, g, b components)\nLight FOV (field of view)\nLight depth range (near and far planes)\nEntity properties:\nEntity color (r, g, b components)\nEntity rotation speed\nGlobal properties:\nAmbient light intensity\nNumber of active lights\nShadow properties:\nShadow bias\nShadow bias slope scale","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":320,"value":"viewof sceneColor = Inputs.color({\n label: \"Scene Background Color\",\n value: \"#000000\"\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":330,"value":"viewof cameraSlider = Inputs.number({ label: \"camera\", value: 0 }) //rreusser","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":507,"value":"LightPositionX","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":326,"value":"scene_parameters = {\n return {\n // cameraSlider,\n // sceneColor,\n\n LightPositionX,\n // lightPositionY,\n lightPositionZ,\n lightColorR,\n lightColorG,\n lightColorB,\n lightFOV,\n lightDepthNear,\n lightDepthFar\n };\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":281,"value":"(randomize, deno_webgpu(scene_parameters))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":415,"value":"result = deno_webgpu(scene_parameters)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":243,"value":"deno_webgpu = (scene_parameters) => {\n let buffer = {};\n // const url = `https://shels-macbook-pro.jerboa-kokanue.ts.net/make-bun-cell`;\n\n const url = `${base_route}0/make_deno_cell`;\n // import all bun examples as tests\n //import all deno examples as test\n const data = {\n file_name: \"initial_webgpu_test\",\n deno_code: deno_demo_code + \"console.log('complete rendering')\",\n datum: scene_parameters\n };\n\n let req = fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\"\n },\n body: JSON.stringify(data) // Data to be sent in the POST request\n });\n\n req\n .then((response) => {\n if (!response.ok)\n throw new Error(`HTTP error! status: ${response.status}`);\n return response.json(); // Parse the JSON from the response\n })\n .then((json) => console.log(\"Response Data:\", Object.assign(buffer, json))) // Handle the JSON data\n .catch((error) => console.error(\"Error fetching data:\", error));\n\n return buffer;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":187,"value":"$35","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":162,"value":"// import { Tldraw, TldrawApp, TDDocument } from \"@tldraw/tldraw\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":231,"value":"deno_cell_executed = {\n // const url = `https://shels-macbook-pro.jerboa-kokanue.ts.net/make-bun-cell`;\n const url = `${base_route}/make_deno_cell`;\n\n const data = {\n file_name: \"initial_deno_test\",\n deno_code: \"console.log(fs.readdirSync('./'))\"\n };\n\n let req = fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\"\n },\n body: JSON.stringify(data) // Data to be sent in the POST request\n });\n let buffer = {};\n req\n .then((response) => {\n if (!response.ok) {\n throw new Error(`HTTP error! status: ${response.status}`);\n }\n return response.json(); // Parse the JSON from the response\n })\n .then((json) => {\n // buffer += JSON.stringify(json);\n Object.assign(buffer, json);\n console.log(\"Response Data:\", json); // Handle the JSON data\n })\n .catch((error) => {\n console.error(\"Error fetching data:\", error); // Handle any errors\n });\n\n return buffer;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":238,"value":"$36","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":151,"value":"// import 'tldraw/tldraw.css'\n function Whiteboard() {\n const handleMount = (app) => {};\n\n // `\n }","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":149,"value":"$37","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":137,"value":"diffuclt ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":131,"value":"* pull request tinygrad - add more demos*\n\nsend to tinygrad - visualziation google.com -> robotics ttyxl - atom y\nNov - 1 ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":129,"value":"https://ultimaker.com/3d-printers/factor-series/ultimaker-factor-4/","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":123,"value":"# what are servos?\n# what are actuators\n# what are sensors\n# what are signals (info theory vis?)\n# what are motors\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":126,"value":"$38","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":115,"value":"https://www.pololu.com/laserquote/new\n\nhttps://top3dshop.com/product/ufactory-lite-6-robotic-arm\n[ur 5 arm](https://github.com/real-stanford/diffusion_policy/issues/29)\nhttps://www.universal-robots.com/products/ur5-robot/?utm_source=Google&utm_medium=paid-search&utm_campaign=HQ_Direct_paid-search_Google_2024-1-29_NAM%20Always%20On&utm_content=Direct-Direct&utm_campaign_id=701P4000007MsaSIAS&gad_source=1&gclid=Cj0KCQjw05i4BhDiARIsAB_2wfDX9bGm8j4sAQLZtmx61jMwsRQRrLhf8-YATv1P1r7CDnSyWeAeg5oaAk7DEALw_wcB\nhttps://github.com/AlexanderKoch-Koch/low_cost_robot","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":111,"value":"| Company Name | Link |\n|---------------------|---------------------------------------------------|\n| Adafruit Industries | [Adafruit](https://www.adafruit.com) |\n| SparkFun Electronics| [SparkFun](https://www.sparkfun.com) |\n| Pololu Robotics | [Pololu](https://www.pololu.com) |\n| Digi-Key Electronics| [Digi-Key](https://www.digikey.com) |\n| Seeed Studio | [Seeed Studio](https://www.seeedstudio.com) |\n| RobotShop | [RobotShop](https://www.robotshop.com) |\n| Trossen Robotics | [Trossen](https://www.trossenrobotics.com) |\n| DFRobot | [DFRobot](https://www.dfrobot.com) |\n| Makeblock | [Makeblock](https://www.makeblock.com) |\n| Elecrow | [Elecrow](https://www.elecrow.com) |\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":97,"value":"rtings for hardware \nblog('')","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":100,"value":"prevelll = blog(\"index 5-10 hardware sellers like waveshare\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":105,"value":"//render ar table from -prevcell ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":89,"value":"mutable firstPoint = 0","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":92,"value":"mutable lastPoint = 0","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":113,"value":"//https://replicate.com/rossjillian/controlnet","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":84,"value":"html`fristPoint lastpoint: ${firstPoint}, ${lastPoint}`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"$39","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":66,"value":"https://jupyter.hashirama.blog/lab/tree/diffusion-3d-pollcy/diffusion-nbs/stable_diffusion.ipynb","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":33,"value":"$3a","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"$3b","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"# Rtings for robotics","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":21,"value":"Column 1 | Column 2 | Column 3\n-------- | -------- | --------\nCell 1-1 | Cell 2-1 | Cell 3-1\nCell 1-2 | Cell 2-2 | Cell 3-2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":23,"value":"# Bibliography\n\n1. Nanosaur.ai (https://nanosaur.ai/bill-of-materials/)\n2. Foxglove","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":29,"value":"/// impport a demo ---- pass through (3 steps) -> add sliders + voice to add sliders()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":36,"value":"$3c","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":95,"value":"https://observablehq.com/@rreusser/strange-attractors-on-the-gpu-part-1","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":102,"value":"blog = (message) => d3.json(\"https://hashirama.blog//llama-backend/, {message})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":251,"value":"import { _canvas } from \"@roboticsuniversity/three-js-canvas\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":253,"value":"_canvas","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":257,"value":"do_things","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":255,"value":"import { do_things } from \"@roboticsuniversity/three-js-canvas\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":308,"value":"//https://www.rescuetime.com/dashboard -import API and diff with ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":554,"value":"base_route = `https://shels-macbook-pro.jerboa-kokanue.ts.net/`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":566,"value":"html``","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":573,"value":"0. embed tailscale terminal in browser by asking apenwarr + bradfitz + david cranshaw + also just iframe proxy + \n1. sandbox using CRIU +\n2. firecracker VM\n3. https://syslogine.cloud/docs/iot/hardware/jetson/set-up-ssd/","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":578,"value":"outline_links = [\n `https://101.school/courses/mechanical-engineering`,\n \"https://www.classcentral.com/search?q=mechanical+engineering&sort=\"\n]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":580,"value":"https://news.ycombinator.com/item?id=39902205\nhttps://alexmaccaw.com/","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":583,"value":"https://chatgpt.com/share/67129340-9a94-8013-8f40-d515ac59683a","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":585,"value":"//https://www.classcentral.com/course/statics1-564","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":596,"value":"$3d","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":605,"value":"oct 20 - solve\n1. zed2i = solved + isometric cameras w/ iphone/android environment cameras solved\n2. roomba - locomotion = solved - nanosaur.ai\n3. arm = semi-open - try 3 runtimes (trossen, huggingface.lerobot, koch-low-cost) -> mini-zoox (bun+zig) w/ go 50 line supervisor (or docker,k8,slurm lol)\n\n\n4. make 4 runtimes work w/ (https://www.universal-robots.com , https://franka.de ,https://arxiv.org/pdf/2403.03954) - try to get 20k arm down to 10k using 3d-printer + nanosaur.ai design\n\n\n\n5. (current blocker - firmware update failing on servo 3,4 on https://emanual.robotis.com/docs/en/software/dynamixel/dynamixel_wizard2/ 😪😪)\n\n6. https://www.trossenrobotics.com/pincherx100 https://docs.trossenrobotics.com/interbotix_xsarms_docs/specifications/px100.html","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":613,"value":"https://www.interbotix.com/dynamixel-xseries-servos - thanks wizards","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":616,"value":"viewof table = Inputs.table(nanosaur_BOM)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":644,"value":"parse_price = function parse_price(str) {\n // Parse function using d3 to extract floating point numbers\n function extractNumbers(input) {\n // Use regular expression to match any floating-point numbers\n let numbers = input.match(/(\\d+\\.\\d+|\\d+)/g);\n\n return numbers;\n }\n\n // Call the function\n let parsedResult = extractNumbers(str);\n\n return parsedResult;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":639,"value":"{\n const sum = nanosaur_total_costs.reduce(\n (a, b) => parseFloat(a) + parseFloat(b),\n 0\n );\n return Math.round(sum * 100) / 100;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":627,"value":"nanosaur_total_costs = nanosaur_BOM\n .map((_) => _.USA)\n .map((_) => _.split(\" \")[0])\n .map(parse_price)\n .map((_) => parseFloat(_))\n .filter((_) => _)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":623,"value":"$3e","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":620,"value":"pricing\n\n1. $95 flat fee for just software - 5 modules (4 ai + 1 how-to-hardware)\n\n2. sell $142 for locomotion =(nanosaur.ai) (w/ free software )\n3. arm = extra for\n\nPitch = sell self driving robot for $142 for open-source robotics foundation models. \n\nBOM\narm for $250 - (trossen or alex-K)...($20k for diffusion3darm)\n\n$118 for optional jetson nano or use your phone\n\nTrossen = $500 profit from $250 parts\n\n\n260.21 = actual cost of parts for nanosaur\n260 - jetson nano = (260-118) = 142 total (if use phone for ai)\n\n\narm = 250.... (to be conintuend) (how to make this free?)\n\n$500k = 2000 free arms \n\n\nin competitive staracraft - macro/longterm beats micro 95% \n\nIRL - 5 game of starcraft = 20 screens of map across 30 minutes - \nso macro in starcraft = microeconomics\ngame design = macroeconomics in reality\nmake alan kay + worrydream the game designer of the future = happydream.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":667,"value":"","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":669,"value":"html`you dont pass butter - you build miniature dynamiclands\n\ndynamicland.org = Vision transformer + projection mapping -> could be $500 - but realtalkLang by worrydream = 100T easy bc it solves the problems of \"biycle of the mind\" - (singeplayer game)\n\n\ndynamicland = multiplayer -> cooperative \n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":637,"value":"Off_by_50Percent = FileAttachment(\n \"Screenshot 2024-10-18 at 11.33.22 AM.png\"\n).image()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":693,"value":"","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":694,"value":"$3f","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":696,"value":"components_for_nanosaur_factory = {\n //lighttable.com\n //voice to chatbot -> keybinds for reformatting into code - template / ctags\n return {\n \"5k\": 0,\n \"10k\": 0,\n \"15k\": 0,\n \"25k\": 0,\n \"50k\": 0,\n \"100k\": 0,\n \"250k\": 0\n };\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":699,"value":"total_price_for_components_for_nanosaur_factory = {\n return Object.keys(components_for_nanosaur_factory).map((_) =>\n parseFloat(_.split(\"k\")[0])\n );\n //see above the maze - 3d perspective ----------> dalle but slider+2 camera - VV\n //KPIS - signups + hardware learned\n //find things like mozilla fellowship\n //https://chatgpt.com/share/67152128-8938-8013-a74f-84d044e75d40\n //index this + dynamcland first (https://nanosaur.ai/) -> alankay -> citations.txt\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":712,"value":"# finding a job in hardware + robotics - robots can make infinite jobs","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"}],"files":"$W40","stdlib":"1","titling":"auto"}} 32:"$31:body"