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RoboPapers
By Michael ChoScience
RoboPapers episodes
- Ep#13 Instant Policy: In-Context Imitation Learning via Graph Diffusion
Geeking out with Vitalis Vosylius & Edward Johns on Instant Policy: In-Context Imitation Learning via Graph Diffusion https://www.robot-learning.uk/instant-policy
1 hr 9 min - Ep#12 VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
Geeking out with Florent Bartoccioni on VaViM and VaVAM: Autonomous Driving through Video Generative Modeling https://valeoai.github.io/vavim-vavam/
1 hr 9 min - Ep#11 Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Geeking with the authors of Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation https://co-training.github.io
1 hr 2 min - Ep#10 Humanoid Policy ~ Human Policy
Geeking out with Roger Qiu on Humanoid Policy ~ Human Policy https://human-as-robot.github.io
1 hr 2 min - Ep#9: AutoEval - Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
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
52 min - Ep#8: VGGT - Visual Geometry Grounded Transformer
Geeking out with Jianyuan on https://vgg-t.github.io
59 min - Ep#7: AnyDexGrasp: Learning General Dexterous Grasping for Different Hands with Human-level Learning Efficiency
Geeking out with Haoshu on https://graspnet.net/anydexgrasp/
1 hr - 54 min
- 1 hr 1 min
- Ep#4: Vision Language Models are In-Context Value Learners
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
1 hr 12 min
About RoboPapers
From the publisher's feed
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.