5 papers
Semantic Haptic Feedback Enhances Dexterous Robotic Teleoperation
Bingjian Huang, Sahar Aseeri, Jonas Schmidtler +9
In robot teleoperation, haptic feedback can be used to help human operators accomplish dexterous manipulation tasks. However, existing haptic feedback methods try to replicate high…
Prop-Chromeleon: Adaptive Haptic Props in Mixed Reality through Generative Artificial Intelligence
Haoyu Wang, Fengyuan Zhu, Bingjian Huang +2
Mixed Reality (MR) aims to blend digital and physical worlds, but the absence of haptic feedback often breaks visual-tactile consistency. We introduce Prop-Chromeleon, a MR system…
Tube Diffusion Policy: Reactive Visual-Tactile Policy Learning for Contact-rich Manipulation
Teng Xue, Alberto Rigo, Bingjian Huang +4
Contact-rich manipulation is central to many everyday human activities, requiring continuous adaptation to contact uncertainty and external disturbances through multi-modal percept…
VibraForge: A Scalable Prototyping Toolkit For Creating Spatialized Vibrotactile Feedback Systems
Bingjian Huang, Siyi Ren, Yuewen Luo +6
Spatialized vibrotactile feedback systems deliver tactile information by placing multiple vibrotactile actuators on the body. As increasing numbers of actuators are required to ade…
AeroHaptix: A Wearable Vibrotactile Feedback System for Enhancing Collision Avoidance in UAV Teleoperation
Bingjian Huang, Zhecheng Wang, Qilong Cheng +5
Haptic feedback enhances collision avoidance by providing directional obstacle information to operators during unmanned aerial vehicle (UAV) teleoperation. However, such feedback i…