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cs.RO2026
RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models
Ulas Berk Karli, Tesca Fitzgerald
Vision-Language-Action (VLA) models are commonly fine-tuned through passive imitation learning, where additional demonstrations are collected for tasks where the policy performs po…
cs.RO2026
Enhancing Goal Inference via Correction Timing
Anjiabei Wang, Shuangge Wang, Tesca Fitzgerald
Corrections offer a natural modality for people to provide feedback to a robot, by (i) intervening in the robot's behavior when they believe the robot is failing (or will fail) the…