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59:36
Ep#62: PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies
With Arhan Jain and Karl Pertsch
Feb 11
•
Chris Paxton
1
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Ep#61: 1x World Model
Feb 4
•
Chris Paxton
4
1
Ep#52: Probe, Learn, Distill: Self-improving Vision-Language-Action Models
Dec 12, 2025
•
Chris Paxton
5
1
Ep#53: Semantic World Models
Dec 15, 2025
•
Chris Paxton
4
2
Ep#57: Learning Dexterity from Human Videos with Gen2Act and SPIDER
Jan 6
•
Chris Paxton
3
1
1
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54:52
Ep#61: 1x World Model
With Daniel Ho
Feb 4
•
Chris Paxton
4
1
1:13:32
Ep#60: Sim-to-Real Manipulation with VIRAL and Doorman
With Tairan He and Haoru Xue
Jan 28
•
Chris Paxton
2
48:57
Ep#59: SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies
With Nadun Ranakawa Arachchige and Zhenyang Chen
Jan 21
•
Chris Paxton
1:11:51
Ep#58: RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
With Kun Lei
Jan 14
•
Chris Paxton
2
51:04
Ep#57: Learning Dexterity from Human Videos with Gen2Act and SPIDER
With Homanga Bharadwaj
Jan 6
•
Chris Paxton
3
1
1
46:05
Ep#56: GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
With Guangqi Jiang
Dec 22, 2025
•
Chris Paxton
2
1
53:40
Ep#55: Trace Anything: Representing Any Video in 4D via Trajectory Fields
With Xinhang Liu
Dec 19, 2025
•
Chris Paxton
1
50:41
Ep#54: MemER: Scaling Up Memory for Robot Control via Experience Retrieval
With Ajay Sridhar, Jennifer Pan, and Satvik Sharma
Dec 17, 2025
•
Chris Paxton
1
1
1:05:25
Ep#53: Semantic World Models
With Jacob Berg
Dec 15, 2025
•
Chris Paxton
4
2
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Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
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