Showing 2026 · cs.ROShow all
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cs.RO2026
DepState-JEPA: Learning Depth-Grounded State Representation for Visual Perception and Manipulation
Xiujian Liang, Liuyuan Na, Zehao Du +6
Predictive representations for robot manipulation should connect scene geometry with the state changes induced by actions. Our intuition is that understanding what an action will c…
cs.RO2026
Explicit Kinematic Guidance from Analytic Concepts for Vision-Language-Action Models
Mingyang Sun, Jiude Wei, Xiujian Liang +4
Current Vision-Language-Action (VLA) models rely mainly on 2D inputs, neglecting the rich object structural information and commonsense knowledge inherent in the 3D physical world.…
cs.RO2026
Analytic Concept-Centric Memory for Agentic Embodied Manipulation
Mingyang Sun, Xiujian Liang, Jiude Wei +4
Long-horizon embodied manipulation requires agents to remember persistent objects, track changing scene states, and reuse prior interaction knowledge. However, existing agent memor…