Enabling AI Models to Drive Robots with the BitRobot Network | Michael Cho

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Connor and Sal spoke with Michael Cho about the future of robotics and AI, highlighting his projects FrodoBots and the new BitRobot network. Michael explained the challenges of testing embodied AI in the real world and introduced the idea of cross-embodiment—training models using data from diverse robots. He also shared how BitRobot uses crypto incentives to crowdsource data and how the meme coin SAM helps build community in a low-pressure way. The conversation offered a fun and thoughtful look into where robotics is headed.

Timestamps:

00:00 - Introduction

01:47 - Intersection of Robotics and AI

02:50 - Real-World Evaluation vs. Digital AI

06:00 - The Importance of Real-World Testing

07:07 - Mapping and Navigation in Robotics

08:12 - Value of Real-World Data for AI

09:38 - Differences in Data Utility

13:07 - Exploring Different Robotic Form Factors

14:04 - Cross-Embodiment in Robotics

16:35 - Introduction to BitRobot

17:30 - Transition from Frotobots to BitRobot

20:08 - Collaboration with Researchers and Competitions

22:05 - Future Plans for BitRobot

24:27 - The Role of Meme Coins in Community Building

27:46 - Conclusion

Disclaimer: The hosts and the firms they represent may hold stakes in the companies mentioned in this podcast. None of this is financial advice.