2 papers
cs.RO2026
PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation
Namai Chandra, Shriram Damodaran, Lin Wang
Vision-Language-Action (VLA) models excel at mapping visual inputs and natural language instructions directly to robotic control policies. However, because they are trained primari…
cs.RO2026
Physics-Informed Policy Optimization via Analytic Dynamics Regularization
Namai Chandra, Liu Mohan, Zhihao Gu +1
Reinforcement learning (RL) has achieved strong performance in robotic control; however, state-of-the-art policy learning methods, such as actor-critic methods, still suffer from h…