2 papers
cs.RO2026
CHOP: Counterfactual Human Preference Labels Improve Obstacle Avoidance in Visuomotor Navigation Policies
Gershom Seneviratne, Jianyu An, Vaibhav Shende +6
Visuomotor navigation policies have shown strong perception-action coupling for embodied agents, yet they often struggle with safe navigation and dynamic obstacle avoidance in comp…
cs.RO2025
EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation
Samarth Chopra, Alex McMoil, Ben Carnovale +3
While Vision-Language-Action (VLA) models map visual inputs and language instructions directly to robot actions, they often rely on costly hardware and struggle in novel or clutter…