6 citations · 6 across the 4 of their papers we have counts for
4 papers
Data-Centric Neuromotor Interfaces for Portable Human-Machine Interaction
Jiaxuan Li, Di Wu, Jianhua Liu +7
Dexterous human-machine interaction requires intuitive and expressive interfaces that can be efficiently deployed on constrained edge devices. Flexible material-based neuromotor in…
Multimodal Adaptive Control for Safe Robotic Craniotomy Under Partial Observability
Xiao Zhang, Jiaxuan Li, Renzhen Le +9
Autonomous robotic craniotomy requires continuous regulation of tool-tissue interactions to mitigate mechanical overload and thermal damage while maintaining surgical efficiency. H…
Human-Inspired Framework for Robotic Craniotomy: Integrating Multimodal Fusion and Adaptive Trajectory Adjustment
Renzhen Le, Xiao Zhang, Di Wu +5
Manual craniotomy is a high-risk, skill-dependent procedure associated with surgeon fatigue and potential dural injury. While robotic approaches have improved safety, existing open…
Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable Environments
Zhen Li, Chiara Lambranzi, Di Wu +5
Objective: Navigation through tortuous and deformable vessels using catheters with limited steering capability underscores the need for reliable path planning. State-of-the-art pat…