Tiêu đề Hackathon I: Physical AI & Humanoid Robotics Textbook ✅

Hackathon I: Create a Textbook for Teaching Physical AI & Humanoid Robotics Course The future of work will be a partnership between people, intelligent agents (AI software), and robots. This shift won't necessarily eliminate jobs but will change what humans do, leading to a massive demand for new skills. We have already written a book on AI agents. Therefore, we want you to write a textbook to teach a course in Physical AI & Humanoid Robotics (The course details are documented below). Excel in the Hackathon and Launch Your Journey as an AI Startup Founder 🚀 We’ve recently launched Panaversity (panaversity.org), an initiative focused on teaching cutting-edge AI courses. Alongside this, we’re working on publishing our first book, which you can explore at ai-native.panaversity.org. Our next milestone is to build a portal where authors can create AI-native technical textbooks, and readers can easily access and learn from them using AI Agents. We also plan to publish O/A Level, Science, Engineering, and Medical AI-native books to support students and professionals across disciplines. If you perform well in this hackathon, you may be invited for an interview to join the Panaversity core team and potentially step into the role of a startup founder within this growing ecosystem. You will get a chance to work with Panaversity founders Zia, Rehan, Junaid, and Wania and become the very best. You may also get a chance to teach at Panaversity, PIAIC, and GIAIC. Requirements You are required to complete a unified book project using Claude Code and Spec-Kit Plus. The core deliverables are: 1. AI/Spec-Driven Book Creation: Write a book using Docusaurus and deploy it to GitHub Pages. You will use Spec-Kit Plus ( https://github.com/panaversity/spec-kit-plus/ ) and Claude Code ( https://www.claude.com/product/claude-code ) to write the book. 2. Integrated RAG Chatbot Development: Build and embed a Retrieval-Augmented Generation (RAG) chatbot within the published book. This chatbot, utilizing the OpenAI Agents/ChatKit SDKs, FastAPI, Neon Serverless Postgres database, and Qdrant Cloud Free Tier, must be able to answer user questions about the book's content, including answering questions based only on text selected by the user. 3. Participants will receive points out of 100, for base functionality defined above. 4. Participants can earn up to 50 extra bonus points by creating and using reusable intelligence via Claude Code Subagents and Agent Skills in the book project. 1
5. Participants can receive up to 50 extra bonus points if they also implement Signup and Signin using https://www.better-auth.com/ At signup you will ask questions from the user about their software and hardware background. Knowing the background of the user we will be able to personalize the content. 6. Participants can receive up to 50 extra bonus points if the logged user can personalise the content in the chapters by pressing a button at the start of each chapter. 7. Participants can receive up to 50 extra bonus points if the logged user can translate the content in Urdu in the chapters by pressing a button at the start of each chapter. Timeline ● Submission Deadline: Sunday, Nov 30, 2025 at 06:00 PM (form will close) ● Live Presentations: Sunday, Nov 30, 2025 starting at 6:00 PM on Zoom Top submissions will be invited via WhatsApp to present live on Zoom. Note: All submissions will be evaluated. Live presentation is by invitation only, but does not affect final scoring. Submit and Present Your Project: Once you have completed the project you will submit your project here: https://forms.gle/CQsSEGM3GeCrL43c8 Submit the following via the form: 1. Public GitHub Repo Link 2. Published Book Link for Github Pages or Vercel. 3. Include a demo video link (must be under 90 seconds). Judges will only watch the first 90 seconds. You can use NotebookLM or record your demo. 4. WhatsApp number (top submissions will be invited to present live) Everyone is welcome to join the Zoom meeting to watch the presentations. Only invited participants will present their submissions. Meeting starts at 6:00 PM on Sunday, Nov 30: Join Zoom Meeting - Time: Nov 30, 2025 06:00 PM - https://us06web.zoom.us/j/84976847088?pwd=Z7t7NaeXwVmmR5fysCv7NiMbfbhId a.1 - Meeting ID: 849 7684 7088 - Passcode: 305850 The Course Details 2

human environments. This represents a significant transition from AI models confined to digital environments to embodied intelligence that operates in physical space. Learning Outcomes 1. Understand Physical AI principles and embodied intelligence 2. Master ROS 2 (Robot Operating System) for robotic control 3. Simulate robots with Gazebo and Unity 4. Develop with NVIDIA Isaac AI robot platform 5. Design humanoid robots for natural interactions 6. Integrate GPT models for conversational robotics Weekly Breakdown Weeks 1-2: Introduction to Physical AI • Foundations of Physical AI and embodied intelligence • From digital AI to robots that understand physical laws • Overview of humanoid robotics landscape • Sensor systems: LIDAR, cameras, IMUs, force/torque sensors Weeks 3-5: ROS 2 Fundamentals • ROS 2 architecture and core concepts • Nodes, topics, services, and actions • Building ROS 2 packages with Python • Launch files and parameter management Weeks 6-7: Robot Simulation with Gazebo • Gazebo simulation environment setup • URDF and SDF robot description formats • Physics simulation and sensor simulation • Introduction to Unity for robot visualization Weeks 8-10: NVIDIA Isaac Platform • NVIDIA Isaac SDK and Isaac Sim • AI-powered perception and manipulation • Reinforcement learning for robot control • Sim-to-real transfer techniques Weeks 11-12: Humanoid Robot Development • Humanoid robot kinematics and dynamics • Bipedal locomotion and balance control • Manipulation and grasping with humanoid hands • Natural human-robot interaction design Week 13: Conversational Robotics • Integrating GPT models for conversational AI in robots • Speech recognition and natural language understanding 4