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© Michael Cho
Description
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
23 Episodes
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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
Geeking out with Vitalis Vosylius & Edward Johns on Instant Policy: In-Context Imitation Learning via Graph Diffusion https://www.robot-learning.uk/instant-policy
Geeking out with Florent Bartoccioni on VaViM and VaVAM: Autonomous Driving through Video Generative Modeling https://valeoai.github.io/vavim-vavam/
Geeking with the authors of Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation https://co-training.github.io
Geeking out with Roger Qiu on Humanoid Policy ~ Human Policy https://human-as-robot.github.io
Geeking out with Paul Zhou on AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World https://auto-eval.github.io Co-hosted by Chris Paxton & Michael Cho
Geeking out with Jianyuan on https://vgg-t.github.io
Geeking out with Haoshu on https://graspnet.net/anydexgrasp/
3d-foundation-policy.github.io
https://robot-learning.uk/r-plus-x
Geeking out with @JasonMa2020 on https://generative-value-learning.github.io (Vision Language Models are In-Context Value Learners)Co-hosted by @chris_j_paxton & @micoolcho
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