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RoboPapers
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
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51:15
RoboPapers Episode 3: Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids with Toru Lin
51:15
RoboPapers Episode 3: Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids with Toru Lin
Sim-to-real training is an important part of the future of robot skill learning. But a lot of sim-to-real work focuses on navigation, grasping, or, more…
Apr 14
•
Chris Paxton
1
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RoboPapers Episode 3: Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids with Toru Lin
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1:07:16
RoboPapers Episode 2: Robot Utility Models with Mahi Shafiullah
General Policies for Zero-Shot Deployment in New Environments
Apr 3
•
Chris Paxton
and
Michael Cho
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RoboPapers Episode 2: Robot Utility Models with Mahi Shafiullah
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2
1:08:59
RoboPapers Episode 1: SAM2Act with Jiafei Duan
Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
Mar 25
•
Chris Paxton
and
Michael Cho
2
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RoboPapers Episode 1: SAM2Act with Jiafei Duan
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