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