Public
Edited
Nov 3, 2024
2 stars
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// drawing()
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exec_magic_iframe("https://soulwire.co.uk/kinetic-canvas/")
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exec_magic_iframe("http://www.timjchin.com/digital/torque/")
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exec_magic_iframe("https://soulwire.co.uk/kinetic-canvas/")
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// exec_magic_iframe("https://madebyevan.com/webgl-water/")
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// exec_magic_iframe("https://sketch.metademolab.com/")
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import { exec_magic_iframe } from "@roboticsuniversity/dynamicland"
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exec_magic_llama('https://worrydream.com/SimulationAsAPracticalTool/', 'gpt')
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exec_magic_llama('https://worrydream.com/SimulationAsAPracticalTool/', 'anthropci')
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everything = [
"https://bookshop.org/book/9781477325766",
"https://bookshop.org/book/9780521292429",
"https://archive.org/details/in.gov.ignca.12550",
"https://bookshop.org/book/9780674699069",
"https://www.routledge.com/Orality-and-Literacy-30th-Anniversary-Edition/Ong/p/book/9780415538381",
"https://bookshop.org/book/9780521299558",
"https://en.wikipedia.org/wiki/The_Educated_Mind",
"https://www.edwardtufte.com/book/envisioning-information/",
"https://en.wikipedia.org/wiki/Understanding_Comics",
"https://mitpress.mit.edu/9780262581462/cognition-in-the-wild/",
"https://bookshop.org/book/9780143117469",
"https://bookshop.org/book/9780679740476",
"https://en.wikipedia.org/wiki/A_Pattern_Language",
"https://en.wikipedia.org/wiki/The_Oregon_Experiment",
"https://en.wikipedia.org/wiki/How_Buildings_Learn",
"https://bookshop.org/book/9780226113470",
"https://bookshop.org/book/9780679764892",
"http://www.newmediareader.com/",
"https://bookshop.org/book/9780125232708",
"https://bookshop.org/book/9781783083442",
"https://worrydream.com/refs/Nelson_T_1974_-_Computer_Lib,_Dream_Machines.pdf",
"https://en.wikipedia.org/wiki/Literary_Machines",
"https://bookshop.org/book/9781541675124",
"https://worrydream.com/refs/Allen-Conn_2003_-_Powerful_Ideas_in_the_Classroom.pdf",
"https://www.rheingold.com/texts/tft/",
"https://en.wikipedia.org/wiki/Sketchpad",
"https://dougengelbart.org/content/view/201/",
"https://dl.acm.org/doi/book/10.1145/61975",
"https://worrydream.com/refs/Krasner_1983_-_Smalltalk-80_Bits_of_History,_Words_of_Advice.pdf",
"https://archive.org/details/humaninterfacewh0000bolt",
"https://worrydream.com/refs/Bolt_1979_-_Spatial_Data_Management.pdf",
"https://worrydream.com/refs/Kim_1988_-_Viewpoint,_Toward_a_Computer_for_Visual_Thinkers.pdf",
"https://en.wikipedia.org/wiki/Seeing_Like_a_State",
"https://mitpress.mit.edu/9780262546799/simulation-and-its-discontents/",
"https://bookshop.org/book/9780143036531",
"https://bookshop.org/book/9780679745402",
"https://bookshop.org/book/9781842300114",
"https://web.stanford.edu/dept/SUL/sites/mac/primary/docs/satori/",
"https://bookshop.org/book/9781732265110",
"https://bookshop.org/book/9780804738712",
"https://worrydream.com/refs/Piumarta_2010_-_Points_of_View.pdf"
]
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goal_3
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goal_1
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# Bret's goals
1. Revolutionize how people learn, understand, create. Give scientists the tools to diagnose and cure the world's ills and artsits the toosl crate and share in beuatisy in ways currently impossbile,
2. return pwoer, dignitity and responbility to the indviaudal
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ladder_
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//await FileAttachment("1723461769374.jpeg").image()
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//ladder_
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import { magic_iframe } from "@roboticsuniversity/dynamicland"
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import {
ladder_,
goal_3,
goal_2,
goal_1
} from "@roboticsuniversity/dynamicland"
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//whiteboard = html`<canvas ></canvas>`
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import { roomba_, drawing } from "@roboticsuniversity/robotics-hardware"
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//roomba_
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// html`# Chapter 1: Introduction to Robotics and Dynamicland

// Dynamicland.org is a pioneering project by Bret Victor that aims to revolutionize how people interact with computers, environments, and ideas. Instead of relying on screens, keyboards, and mice, Dynamicland transforms physical spaces into fully interactive, programmable environments. Robotics fits into this vision by providing the hardware and software infrastructure needed to enable dynamic, real-world interactions, where robots respond to and manipulate physical objects in their surroundings.

// This chapter will provide an overview of how Dynamicland works, its foundational principles, and how robotics can enhance its real-world interactive applications. We will explore how robots can serve as autonomous agents within the dynamic spaces, building a bridge between the physical and the virtual.

// # Chapter 2: Understanding the Vision of Dynamicland

// Dynamicland is built around the concept of “direct interaction” with computers and information by physically manipulating objects. This chapter will delve into the vision behind Dynamicland—how it leverages spatial computing, real-time collaboration, and direct interaction to create environments where humans can work in harmony with computers.

// We will also cover the philosophical ideas of Bret Victor and the influence of earlier systems like Xerox PARC and Alan Kay’s Dynabook. Robots can contribute to this by expanding Dynamicland’s physical capabilities, introducing the idea of collaborative robotics (robots that interact with people in the space to help solve problems or perform tasks).

// # Chapter 3: Spatial Computing in Dynamicland and Robotics

// Spatial computing is at the heart of Dynamicland, where computation happens in the environment, not just inside digital devices. This chapter focuses on how robotics can be integrated into spatial computing environments by tracking, manipulating, and understanding the physical world. Topics include sensor fusion, SLAM (Simultaneous Localization and Mapping), and real-time object tracking.

// Robots with spatial awareness can enhance Dynamicland’s physical computing by interacting intelligently with both the digital and physical components, creating a more immersive and responsive system.

// # Chapter 4: Interactive Robotics in Dynamic Spaces

// In Dynamicland, interactions happen through physical manipulation of objects that contain embedded information. This chapter will explore how robots can enhance such interactions by becoming dynamic actors in the space, using arms, wheels, or drones to physically move or adjust objects in real-time. Robots can act as facilitators, enabling collaboration between humans and the environment in a hands-on way.

// We will also discuss robot perception, movement, and interaction design—ensuring that these robots can smoothly integrate with the human-centric design of Dynamicland.

// # Chapter 5: Machine Perception for Dynamicland Robotics

// Robots in a Dynamicland-style environment will need advanced machine perception capabilities, such as computer vision and audio recognition. This chapter focuses on building perception systems that allow robots to understand and respond to the surrounding world, including recognizing objects, understanding spatial relationships, and interpreting human gestures and speech.

// Using tools like neural networks, LIDAR, depth cameras, and audio processing, we can create robots that respond to both verbal and physical commands in real-time.

// # Chapter 6: Collaborative Robotics in a Dynamicland Environment

// One of Dynamicland’s goals is to foster collaborative interactions in a shared physical environment. This chapter will delve into how collaborative robotics can play a significant role. Collaborative robots (cobots) are designed to work alongside humans, assisting them with tasks or acting as intelligent companions.

// This chapter will cover how cobots can be programmed to interact with people in a way that aligns with Dynamicland’s vision of real-time, hands-on collaboration. We’ll discuss how robots can aid in problem-solving and creative processes within the space.

// # Chapter 7: Robot Learning and Adaptation in Dynamicland

// In dynamic, ever-changing environments, robots must be able to learn and adapt. This chapter focuses on robot learning techniques, including reinforcement learning, imitation learning, and continuous adaptation. In a Dynamicland setting, robots need to constantly observe, learn, and adapt to new situations, tasks, and user behaviors.

// We will explore how robotics frameworks, such as ROS (Robot Operating System) or custom-built learning systems, can be used to achieve this in interactive, real-time environments.

// # Chapter 8: Building the Infrastructure for Dynamicland Robotics

// Creating a robotics infrastructure that works seamlessly within Dynamicland requires a sophisticated system of sensors, actuators, and communication networks. This chapter will cover the technical requirements, including low-latency wireless communication (such as Wi-Fi 6 or 5G), real-time processing, and distributed computing. We’ll explore how to integrate robotics platforms with Dynamicland’s technology stack.

// We will also explore hardware requirements for robots, such as processors (e.g., Jetson Orin), actuators (like Dynamixel), and the sensors that make them responsive in dynamic environments.

// # Chapter 9: Robotic Interfaces for Physical Programming

// One of Dynamicland’s core ideas is the use of physical objects to program the environment. This chapter explores how robots can participate in this physical programming—perhaps by manipulating tangible blocks or other objects that represent code or instructions. Robots can act as both manipulators and sensors in this process, helping humans experiment with programming physical space.

// We will also examine how human-robot interaction (HRI) principles can ensure that these interactions remain intuitive and human-friendly, even as the robots manipulate physical objects.

// # Chapter 10: Robotics for Real-World Problem Solving in Dynamicland

// Dynamicland is not just about play and exploration; it’s about using these tools to solve real-world problems. This chapter focuses on how robotics can assist in these efforts, offering problem-solving capabilities in education, healthcare, logistics, and more. Robots can be used for tasks like physical simulations, hands-on STEM education, and prototyping real-world solutions in industries like manufacturing or healthcare.

// We will provide examples of real-world robotics applications that can integrate seamlessly into Dynamicland’s environments.

// # Chapter 11: Simulation and Prediction with Robotics

// Simulating real-world systems and predicting their outcomes is a powerful feature in robotics. This chapter will explain how simulations of robots can run in real-time within the Dynamicland environment to test various physical scenarios. We will discuss predictive modeling, physics-based simulations, and how robots can be used to implement simulations of physical phenomena or complex systems within the Dynamicland space.

// Robots can serve as simulation tools, providing insights into how dynamic environments might evolve over time and how to control these evolutions.

// # Chapter 12: Future Directions: Expanding Dynamicland with Autonomous Robots

// The final chapter will look toward the future. We will explore how the principles behind Dynamicland could be extended with robotics to build even more dynamic, autonomous environments. Robots with AI capabilities could autonomously manage parts of these dynamic spaces, fostering a new kind of human-robot collaboration in a seamless interactive ecosystem.

// This chapter will also speculate on how the combination of Dynamicland and robotics might evolve, potentially leading to a world where physical spaces are programmable by anyone, and where robots and humans coexist to enhance productivity, creativity, and education.

// These 12 chapters explore the intersection of robotics and Dynamicland’s vision of interactive, collaborative environments, laying out how to integrate robotics into Dynamicland while building on its core principles of spatial computing and real-world interaction.

// `
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// md`${await d3.text(
// "https://raw.githubusercontent.com/adnanwahab/homelab/refs/heads/main/readme.md"
// )}`
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plur_is_unification_of_all_oppoisng_elements = exec_magic_iframe(
"https://chomsky.info/201002__/"
)
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exec_magic_iframe("https://hashirama.blog/")
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