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46:05
Ep#56: GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
With Guangqi Jiang
 • Chris Paxton
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Ep#53: Semantic World Models
 • Chris Paxton
Ep#52: Probe, Learn, Distill: Self-improving Vision-Language-Action Models
 • Chris Paxton
Ep#35: Reinforcement Learning with Action Chunking
 • Chris Paxton
Ep#41: HITTER: A Humanoid Table Tennis Robot via Hierarchical Planning and Learning
 • Chris Paxton
53:40
Ep#55: Trace Anything: Representing Any Video in 4D via Trajectory Fields
With Xinhang Liu
 • Chris Paxton
50:41
Ep#54: MemER: Scaling Up Memory for Robot Control via Experience Retrieval
With Ajay Sridhar, Jennifer Pan, and Satvik Sharma
 • Chris Paxton
1:05:25
Ep#53: Semantic World Models
With Jacob Berg
 • Chris Paxton
46:07
Ep#52: Probe, Learn, Distill: Self-improving Vision-Language-Action Models
With Wenli Xiao
 • Chris Paxton
53:49
Ep#51: Humanoid Everyday
With Zhenyu Zhao, Hongyi Jing, Xiawei Liu, Jiageng Mao, and Yue Wang
 • Chris Paxton
1:04:23
Ep#50: EMMA: Scaling Mobile Manipulation via Egocentric Human Data
With Lawrence Zhu and Pranav Kuppili
 • Chris Paxton and Michael Cho
50:15
Ep#49: Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation
With Baoxiong Jia
 • Chris Paxton and Michael Cho
55:45
Ep#48: VisualMimic: Visual Humanoid Loco-Manipulation via Motion Tracking and Generation
With Shaofeng Yin and Yanjie Ze
 • Chris Paxton
48:40
Ep#47: ResMimic: From General Motion Tracking to Humanoid Whole-Body Loco-Manipulation via Residual Learning
With Siheng Zhao and Yanjie Ze
 • Chris Paxton
RoboPapers
RoboPapers
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
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