3 papers
cs.RO2026
PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies
Jiayu Yang, Tao Yang, Weijun Li +4
Long-horizon robotic manipulation is highly sensitive to physically infeasible transitions, contact-induced disturbances, and the lack of effective self-correction during execution…
cs.RO2026
PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action Policies
Jiayu Yang, Tao Yang, Xiang Chang +3
Reliable action generation for multi-stage robotic manipulation remains challenging for Vision-Language-Action (VLA) models. While existing flow-matching VLA policies offer strong…
cs.CV2024
The Effectiveness of a Simplified Model Structure for Crowd Counting
Lei Chen, Xinghang Gao, Fei Chao +6
In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhanceme…