5 papers
Vision-Based Tactile Intelligence for Robotics: Sensing, Learning, and Embodied Manipulation
Peng Zhou, Jun Hu, Sihan Chen +12
Tactile sensing is essential for robots in contact-rich tasks, yet many tactile sensors still provide sparse, low-dimensional signals that do not capture sufficient information for…
World Models for Robotic Manipulation: A Survey
Fangyuan Wang, Ziyuan Wang, Guorui Pei +15
Robotic manipulation depends on the ability to anticipate how actions reshape objects, contacts, and scene geometry before execution. Learned world models provide this capability b…
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
Adriana Aida, Walid Amer, Katarina Bankovic +25
Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demon…
Failure-Aware Bimanual Teleoperation via Conservative Value Guided Assistance
Peng Zhou, Zhongxuan Li, Jinsong Wu +7
Teleoperation of high-precision manipulation is con-strained by tight success tolerances and complex contact dy-namics, which make impending failures difficult for human operators…
UniBiDex: A Unified Teleoperation Framework for Robotic Bimanual Dexterous Manipulation
Zhongxuan Li, Zeliang Guo, Jun Hu +4
We present UniBiDex a unified teleoperation framework for robotic bimanual dexterous manipulation that supports both VRbased and leaderfollower input modalities UniBiDex enables re…