Data-Driven Optimization of Tactile Sensor Configurations for Dexterous Manipulation
This work investigates how to optimize tactile sensor quantity and placement for dexterous manipulation using Shadow Hand simulation.
About Me
I am a Ph.D. student at ShanghaiTech University, SIST. My research interest is robotic sensing, focusing on tactile sensor design, human-robot interaction, and dexterous robotic manipulation.
Education
Ph.D. Student
Electronic Science
ShanghaiTech University, China
2026.03.01-Now
M.S.
Robotics
Oklahoma State University, USA
2024.08.01-2025.12.31
Visiting Student
Nano Processing
Westlake University, China
2022.12.01-2023.05.31
B.Eng.
Automation
Wuhan University of Technology, China
2019.09.01-2023.06.30
Research Interests
Tactile sensing
Human-robot interaction
Dexterous manipulation
Reinforcement learning
Research Focus
I work on tactile sensing and dexterous manipulation for robots. My current research combines multi-modal tactile sensors, reinforcement learning, simulation, and robot control to improve manipulation reliability and human-robot interaction.
My interests include tactile sensor configuration, thermostatic tactile sensing, haptic feedback, telemanipulation, and embodied intelligence.
Projects
Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection
A multi-modal thermostatic tactile sensor with normal and shear force sensing and temperature regulation for robotic grasping.
Publications
ICRA.
Bi-directional Momentum-based Haptic Feedback and Control System for In-Hand Dexterous Telemanipulation.2026.
IROS.
Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking.2025.
IROS.
Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection.2025.
Patent.
A kind of leg exoskeleton prosthesis for the disabled.2020.