3 papers
cs.RO2026
Dense to MoE Adaptation for Compact Vision Language Action Policies
Muchun Niu, Shuang Chen, Yuzhou Wu +1
Vision language action (VLA) policies continue to grow in parameter count, making deployment on resource-constrained robot platforms difficult. The central goal is to reduce the nu…
cs.RO2026
Tired Actor: Fatigue-Informed Character Control
Shengyuan Zhang, Xinpeng Liu, Muchun Niu +5
Replicating human behavior with physics simulation has been a long-expected goal in character animation. Existing efforts have achieved impressive performance in imitating a wide s…
cs.RO2026
Reducing Temporal Redundancy for Efficient Vision-Language-Action Inference
Yuzhou Wu, Yuxin Zheng, Muchun Niu +6
Vision-Language-Action (VLA) models exhibit strong generalization for robotic manipulation, yet their high inference latency limits real time deployment. We identify two primary so…