Tesla’s Optimus and Sim2Real for Robotic AI with Ken Goldberg
EPISODE 599
|
NOVEMBER
14,
2022
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About this Episode
Today we’re joined by return guest Ken Goldberg, a professor at UC Berkeley and the chief scientist at Ambi Robotics. It’s been a few years since our initial conversation with Ken, so we spend a bit of time talking through the progress that has been made in robotics in the time that has passed. We discuss Ken’s recent work, including the paper Autonomously Untangling Long Cables, which won Best Systems Paper at the RSS conference earlier this year, including the complexity of the problem and why it is classified as a systems challenge, as well as the advancements in hardware that made solving this problem possible. We also explore Ken’s thoughts on the push towards simulation by research entities and large tech companies, and the potential for causal modeling to find it's way into robotics. Finally we discuss the recent showcase of Optimus, Tesla and Elon Musk’s “humanoid” robot and how far away we are from it being a real viable piece of technology.
About the Guest
Ken Goldberg
UC Berkeley
Resources
- Mar ‘20 - The Third Wave of Robotic Learning with Ken Goldberg - #359
- Paper: Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting
- Paper: Autonomously Untangling Long Cables
- Paper: Automated Pruning of Polyculture Plants
- Paper: Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans
- Rope Manipulation (Pieter Abbeel)
- Issac Sim
- Deepmind MuJoCo
- Blog: Complementarity: Work in an Age of Anxiety about AI and Automation
- Ambi Robotics
- Article: GelSight Partners with Meta AI to Democratize Digital Tactile Sensing
