Rishabh Garg, Tesla Optimus — Challenges in High Performance Robotics Systems

AI Engineer · Beginner ·📄 Research Papers Explained ·7mo ago
A robot's behavior is influenced by the control policy, the software configuration, and electrical characteristics of the communication protocol. When unexpected behaviors arise, it is not straightforward to root cause them to the RL policy, electrical characteristics, mechanical characteristics. This talk walks through some of these issues and explains what might cause the observed behavior. We will talk about concrete issues that audience will be able to take away from and develop their understanding of physical systems. It will build intuition for what kind of issues to expect when commun…
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Chapters (20)

Introduction to high-performance robotics challenges
0:15 The problem of unexplained robot behavior
0:54 Root cause analysis: policy vs. software
1:17 Designing a toy robotics system for analysis
1:24 System architecture: sensors, CPU, GPU, actuators, CAN bus
1:57 The initial, simple code loop
2:14 Expectation vs. reality: unexpected loop execution gaps
2:42 The impact of CAN bus data rate on loop execution
3:13 Potential solutions: accepting delay vs. multithreading
4:00 A new, pipelined design for reduced cycle time
4:32 New problems: "stuttering" and abnormal motor behavior
4:49 Data collection with external transceivers and "candump"
5:24 Expected vs. actual message plots: missed messages and jitter
6:12 Using cycle time plots to identify desynchronization
6:58 Transmit phase desynchronization: missed and queued data
8:03 Receive phase desynchronization: stale data and overcompensation
8:38 Resolving synchronization issues: kernel primitives and padding
9:25 The impact of logging on system performance
11:09 Reception and priority inversion
12:02 Conclusion and summary of key takeaways

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