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Robots with AI Agents + Copilot

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Author: Microsoft Developer - Bewertung: 5x - Views:44

Welcome back to Cozy AI Kitchen, where we explore the latest in AI through fun, hands-on demos.

In this episode, we’re joined by robotics expert Griffin Norris from General Robotics, who shows how AI agents and Microsoft Copilot can dramatically simplify programming and controlling robots.

Instead of writing complex code from scratch, you’ll see how natural language, MCP servers, and AI models make it possible to:



- Generate robot control scripts instantly

- Connect robots to cloud-based AI models

- Use vision AI for real-world understanding

- Build reusable “skills” for robotic systems

- Control robots interactively with feedback loops



From making a quadruped robot stand and walk to identifying objects like a toaster using vision models, this episode highlights how fast robotics development is evolving in the AI era.

If you’ve ever been curious about robotics but didn’t know where to start, this is the perfect introduction.



⏱️ Chapters

00:01 - Robots + AI: The Big Challenge

00:15 - Meet Griffin Norris (General Robotics)

01:25 - Using Copilot + MCP for Code Generation

01:59 - From Docs to Working Robot Code

05:00 - Live Demo: Robot Stands and Walks

05:49 - Adding Vision AI + Scene Understanding

08:20 - Multi-Agent Systems & Faster Development

09:06 - Prebuilt Skills vs Raw Code Generation

11:05 - Controlling Robot with Natural Language

12:12 - Demo: Finding a Toaster with Vision AI

13:52 - Feedback Loops and Iteration

14:55 - Why Now Is the Best Time for Robotics



🎯 What You’ll Learn

- How to control robots using natural language with Copilot

- How MCP servers enable AI agents to access robot APIs

- How to generate and execute robot control code automatically

- How to add vision models for scene understanding and reasoning

- Why prebuilt robot “skills” speed up development dramatically

- How feedback loops allow robots to act based on real-world perception



🧠 Key Topics Covered

- AI agents and MCP (Model Context Protocol)

- Robot APIs and abstraction layers

- Vision AI and scene description models

- Multi-agent systems for development

- Simulation environments (AirSim / Isaac)

- Human-in-the-loop safety for robotics



🚀 Resources & Next Steps

Try Azure for free: https://aka.ms/AzureFreeTrialYT

Explore more Cozy AI Kitchen episodes: https://aka.ms/CAIK-YTPlaylist



Speakers

Griffin Norris

https://www.linkedin.com/in/griffin-norris-069b3272/

https://www.linkedin.com/company/gen-robotics/



John Maeda - Host, Cozy AI Kitchen

VP of Design and Artificial Intelligence, Microsoft

https://www.linkedin.com/in/johnmaeda/



🔔 Subscribe for more AI, robotics, and developer demos!



🔖 Hashtags

#AI #Robotics #AIAgents #MicrosoftCopilot #AzureAI

#MachineLearning #ComputerVision #DevTools #Automation #CloudComputing

#CozyAIKitchen #TechDemo #FutureOfAI #AIRevolution

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