Opt2VLA: Force-Aware Vision-Language-Action for Contact-Rich Humanoid Whole-Body Manipulation
cs.RO
Submitted: 2026-09-21
Updated: 2026-09-21
Project page: https://opt2vla.github.io
Terminology
Sources
- OpenVLA: An Open-Source Vision-Language-Action Model
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience
- Humanoid-VLA: Towards Universal Humanoid Control with Visual Integration
- Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
- WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
- ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
- TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models
- FWBC-VLA: Force-Aware Whole-Body Compensation for Contact-Rich Loco-Manipulation
- Expressive Whole-Body Control for Humanoid Robots
- SoftMimic: Learning Compliant Whole-body Control from Examples
- Walk the PLANC: Physics-Guided RL for Agile Humanoid Locomotion on Constrained Footholds
- Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and Manipulation
- Chasing Stability: Humanoid Running via Control Lyapunov Function Guided Reinforcement Learning
- LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction
- Asymmetric Actor Critic for Image-Based Robot Learning
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