Ep#19 Learning to Drive from a World Model

Geeking out with Yixuan & Siyuan on CLONE:Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Taskshttps://humanoid-clone.github.ioCo-hosted by Chris Paxton & Michael Cho

Geeking out with Yuanhang Zhang on FALCON - Learning Force-Adaptive Humanoid Loco-Manipulation https://lecar-lab.github.io/falcon-humanoid/Co-hosted by Chris Paxton & Michael Cho

Geeking out with Tony Tao & Mohan Kumar Srirama on https://dexwild.github.ioCo-hosted by Michael Cho & Chris Paxton

Geeking out with Haoyu Zhen on TesserAct: Learning 4D Embodied World Models https://tesseractworld.github.io Co-hosted by Michael Cho & Chris Paxton

Geeking out with Arthur Allshire & Hongsuk Choi on VideoMimic https://www.videomimic.netCo-hosted by Chris Paxton & Michael Cho

Geeking out with Harald Schäfer on Learning to Drive from a World Model https://blog.comma.ai/mlsimCo-hosted by Chris Paxton & Michael Cho

Geeking out with Vincent Liu, Ademi Adeniji on EgoZero:Robot Learning from Smart Glasses https://egozero-robot.github.io/Co-hosted by Chris Paxton & Michael Cho

Geeking out with Yanjie on TWIST: Teleoperated Whole-Body Imitation System https://yanjieze.com/TWIST/ Co-hosted Chris Paxton & Michael Cho

Geeking out with Amir Bar on Navigation World Models https://amirbar.net/nwm/ Co-hosted by Chris Paxton & Michael Cho

Geeking out with Xuesu Xiao on In-Air Vehicle Maneuver for High-Speed Off-Road Navigation https://cs.gmu.edu/~xiao/papers/dom_phli.pdf & VERTIFORMER: A Data-Efficient Multi-Task Transformer on Vertically Challenging Terrain https://cs.gmu.edu/~xiao/papers/vertiformer.pdf Co-hosted by Chris Paxton & Michael Cho