Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control
steerable-policies.github.io · 1,118 words · saved by 1 readers
Project page for Steerable Vision-Language-Action Policies
Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control William Chen 1 , Jagdeep Bhatia 1 , Catherine Glossop 1 , Nikhil Mathihalli 1 , Ria Doshi 2 , Andy Tang 2 , Danny Driess 3 , Karl Pertsch 3 , Sergey Levine 1 1 UC Berkeley, 2 Stanford University 3 Physical Intelligence Paper Code Model Data Preview (Muted) Full (Narrated) Steerable Policies can flexibly follow diverse commands, allowing them to better interface with VLMs to transfer foundation model capabilities to t
saved by
related reading
- A Steerable Model with Emergent Capabilitiespi.website
- Emergence of Human to Robot Transfer in Vision-Language-Action Modelspi.website
- Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models | NVIDIA Technical Blogdeveloper.nvidia.com
- $π_0$: A Vision-Language-Action Flow Model for General Robot Controlalphaxiv.org
- [2602.10556] LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transferarxiv.org
- Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Modelsarxiv.org
- Helix: A Vision-Language-Action Model for Generalist Humanoid Controlfigure.ai
- 𝜋₀: A Vision-Language-Action Flow Model for General Robot Controlarxiv.org
- SimpleVLA-RL: Scaling VLA Training via Reinforcement Learningalphaxiv.org
- A VLA with Open-World Generalizationpi.website
- Video Language Planningvideo-language-planning.github.io
- RT-2: Vision-Language-Action Modelsrobotics-transformer2.github.io