University research lab home to Sergey Levine's group, foundational contributors to robot RL algorithms underlying LWD.
- The Embodiment Gap in Robot Foundation Models
- Adapting Generalist Robot Policies with Semantic Reinforcement Learning
- Improving Robotic Generalist Policies via Flow Reversal Steering
- 🍎 Smarter Siri, sort of
- Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models
- 😠 Chorus of boos
“OpenVLA uses discrete tokens from RT-1's binning, and Octo uses a diffusion head”
Source→“we first detect candidate objects by querying SAM3... a frozen DINOv3 ViT-S/16 backbone... teleoperation with GELLOs through a custom VR interface which streams visuals to the operator in a Quest 3 headset”
AI-extracted from podcast / newsletter / paper summaries. May contain errors.