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Chris Paxton and Michael Cho · Technology

RoboPapers

Chris Paxton & Michael Cho geek out over robotic papers with paper authors. robopapers.substack.com

Episodes

Ep#30: R2S2: Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space

Ep#29: Exploring Low Cost Robots using LLM Agents

Ep#28: DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Ep#27: DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands

Ep#26: ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

Ep#25: DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

Ep#24: CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks

Ep#23: FALCON 🦅- Learning Force-Adaptive Humanoid Loco-Manipulation

Ep#22: DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies

Ep#21: TesserAct: Learning 4D Embodied World Models

Ep#20: VideoMimic: Visual imitation enables contextual humanoid control

Ep#19: Learning to Drive From a World Model

Ep#18 HuB: Learning Extreme Humanoid Balance

Ep#17: EgoZero: Robot Learning from Smart Glasses

Ep#16: TWIST: Teleoperated Whole-Body Imitation System

Ep#15: Navigation World Models

Ep#13: Instant Policy

Ep#12: VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Ep#14: In-Air Vehicle Maneuver for High-Speed Off-Road Navigation and VERTIFORMER

Ep#11: Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

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