Part 10/12:
This simulated environment offers a promising avenue for training Optimus in a variety of scenarios without physical wear and tear. It can generate diverse, complex situations—ranging from tricky terrain to crowded environments—allowing robots to learn and adapt efficiently. Dr. Walter highlighted that this simulation approach mirrors Tesla’s existing work on FSD (Full Self-Driving), where synthetic data helps improve system robustness across countless real-world situations.
Ongoing Development and Future Outlook
Tesla’s ongoing work on Optimus involves iterative improvements. The next version (Gen 3) will likely focus on refining actuation, dexterity, and robustness of the hands, while the body continues to demonstrate higher speeds and stability.