RoboPapers
RoboPapers
Podcast Description
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
Podcast Insights
Content Themes
The podcast focuses on advanced topics in robotics, particularly in areas such as robotic manipulation, vision models, and reinforcement learning. Specific episodes discuss 3D foundation policies for robotic manipulation, retrieval from human videos, and zero-shot deployment strategies, showcasing innovative research and practical implications in the field.
Chris Paxton & Michael Cho geek out over robotic papers with paper authors.
Geeking out with Yixuan & Siyuan on CLONE:Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks
https://humanoid-clone.github.io
Co-hosted by Chris Paxton & Michael Cho
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.