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ActionGround: Training-Free Runtime Refinement of Frozen VLA Policies
Namai Chandra, Madhur Thareja, Shriram Damodaran +1
Vision-Language-Action (VLA) models map visual observations and language instructions directly to robot actions, but they do not explicitly represent the phase structure of manipul…
EAGOR: Embodied Reasoning in Omni-direction
Shriram Damodaran, Soumyaratna Debnath, Yan Wu +2
Omni-directional (360°) cameras provide embodied agents with a holistic view of their surroundings, making them suited for directional reasoning in tasks such as navigation and obj…
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…