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cs.RO2026
AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots
Likui Zhang, Tao Tang, Zhihao Zhan +9
Recent advances in Visual-Language-Action (VLA) models have shown promising potential for robotic manipulation tasks. However, real-world robotic tasks often involve long-horizon,…
cs.RO2024
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
Kaidong Zhang, Pengzhen Ren, Bingqian Lin +4
Language-guided robotic manipulation is a challenging task that requires an embodied agent to follow abstract user instructions to accomplish various complex manipulation tasks. Pr…