3 papers
cs.RO2026
Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot Skills
Shuai Ke, Jiexin Zhang, Huan Zhao +4
Diffusion-based imitation learning methods have driven rapid progress in robot dexterous manipulation tasks. However, they have limitations when applied to tasks that involve compl…
cs.CV2026
Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models
Chengyin Hu, Yuxian Dong, Yikun Guo +8
Infrared vision-language models (IR-VLMs) are becoming important for semantic perception in low-visibility environments, yet their robustness to physical semantic attacks remains u…
cs.CV2026
Thermal Topology Collapse: Universal Physical Patch Attacks on Infrared Vision Systems
Chengyin Hu, Yikun Guo, Yuxian Dong +7
Infrared pedestrian detectors are increasingly deployed in all-weather perception systems, but their robustness against physical adversarial attacks remains insufficiently understo…