4 papers
Fiber Optic Sensing Glove for High Performance Dexterous Manipulation Capture
J. D. Peiffer, Taylor Niehues, Li Guan +2
Capturing hand pose during dexterous manipulation remains difficult: vision-based methods degrade under occlusion and challenging lighting, while sensorized gloves, though occlusio…
Pose-Aware Modeling to Mitigate Pose-Related Artifacts in Tactile Gloves
Tianhong Catherine Yu, Ziyi Kou, Mia Huang +4
Tactile gloves digitize contact and force during hand-object interactions, enabling robotics applications in dexterous manipulation, teleoperation, and learning from demonstration.…
AirGlove: Exploring Egocentric 3D Hand Tracking and Appearance Generalization for Sensing Gloves
Wenhui Cui, Ziyi Kou, Chuan Qin +2
Sensing gloves have become important tools for teleoperation and robotic policy learning as they are able to provide rich signals like speed, acceleration and tactile feedback. A c…
Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos
Mingfei Chen, Yifan Wang, Zhengqin Li +10
Prior works on 3D hand trajectory prediction are constrained by datasets that decouple motion from semantic supervision and by models that weakly link reasoning and action. To addr…