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cs.RO2026
When to Switch: Reliable Action-Chunk Extension for Vision-Language-Action Models
Seonghoon Yu, Dongwon Kim, HyungRok Jung +4
Vision-Language-Action (VLA) models serve as unified policies for robotic manipulation, yet their expensive inference forces robots to pause between policy calls, resulting in stop…
cs.RO2026
Taming VLAs under Robot Execution Errors: Self-Compensation and Stress Testing
Sohyun Lee, Yoonjae Baek, Jaesang Won +5
Vision-language-action (VLA) policies often fail when a robot's executed motion deviates from their commanded action. Such execution errors arise from the robot's mechanics and ope…