RoboPapers

RoboPapers

Home
Archive
About
1:11:51
Ep#58: RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
With Kun Lei
Jan 14 • Chris Paxton
Most Popular
View all
Ep#52: Probe, Learn, Distill: Self-improving Vision-Language-Action Models
Dec 12, 2025 • Chris Paxton
Ep#53: Semantic World Models
Dec 15, 2025 • Chris Paxton
Ep#56: GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
Dec 22, 2025 • Chris Paxton
Ep#51: Humanoid Everyday
Dec 10, 2025 • Chris Paxton
51:04
Ep#57: Learning Dexterity from Human Videos with Gen2Act and SPIDER
With Homanga Bharadwaj
Jan 6 • Chris Paxton
46:05
Ep#56: GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
With Guangqi Jiang
Dec 22, 2025 • Chris Paxton
53:40
Ep#55: Trace Anything: Representing Any Video in 4D via Trajectory Fields
With Xinhang Liu
Dec 19, 2025 • Chris Paxton
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
1:05:25
Ep#53: Semantic World Models
With Jacob Berg
Dec 15, 2025 • Chris Paxton
46:07
Ep#52: Probe, Learn, Distill: Self-improving Vision-Language-Action Models
With Wenli Xiao
Dec 12, 2025 • Chris Paxton
53:49
Ep#51: Humanoid Everyday
With Zhenyu Zhao, Hongyi Jing, Xiawei Liu, Jiageng Mao, and Yue Wang
Dec 10, 2025 • Chris Paxton
1:04:23
Ep#50: EMMA: Scaling Mobile Manipulation via Egocentric Human Data
With Lawrence Zhu and Pranav Kuppili
Dec 8, 2025 • 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
Dec 5, 2025 • Chris Paxton and Michael Cho
RoboPapers
RoboPapers
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
Recommendations
It Can Think!
It Can Think!
Chris Paxton

RoboPapers

AboutArchiveRecommendationsSitemap
© 2026 Chris Paxton · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture