3 papers
cs.RO2026
SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space
Ruiteng Zhao, Zhengshen Zhang, Yue Su +6
World Action Models (WAMs) couple action generation with prediction of future states. Their effectiveness depends on whether future dynamics are modeled in a space that is both ali…
cs.RO2026
FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation
Ruiteng Zhao, Wenshuo Wang, Yicheng Ma +4
Force sensing is a crucial modality for Vision-Language-Action (VLA) frameworks, as it enables fine-grained perception and dexterous manipulation in contact-rich tasks. We present…
cs.RO2024
ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning
Yiwen Chen, Yuyao Ye, Ziyi Chen +2
Robotics learning highly relies on human expertise and efforts, such as demonstrations, design of reward functions in reinforcement learning, performance evaluation using human fee…