cv

Basics

Name Wenqiang Xu
Label Assistant Professor, Institute of Trustworthy Embodied AI, Fudan University
Email wenqiangxu@fudan.edu.cn
Url https://wenqiangx.github.io/
Summary Safety of human-robot interaction, with a focus on human motion mechanisms, omni-modal perception, high-frequency force control, and novel embodiment and sensor design.

Work

  • Assistant Professor
    Institute of Trustworthy Embodied AI, Fudan University
    Safety of human-robot interaction
    • Human motion mechanisms: musculoskeletal modeling and biomechanically grounded motion understanding.
    • Omni-modal perception: fusing vision, touch, force and proprioception for contact understanding.
    • High-frequency force control for safe physical human-robot interaction.
  • Research Fellow
    National University of Singapore
    Advisor: Prof. Shao Lin
    • Robot-assisted dressing.
  • Assistant Research Fellow
    Shanghai Jiao Tong University
    Advisor: Prof. Cewu Lu
    • Visual-tactile perception and human-centric manipulation.
    • RobotFlow: full-stack infrastructure for embodied AI research.
  • Visiting Scholar
    National University of Singapore
    Advisor: Prof. Shao Lin
    • Robot-assisted dressing.
  • R&D Intern in Physics Simulation
    ZenusTech
    Advisor: Xinxin Zhang
    • Rigid simulation, constraints, high performance computing.

Education

  • PhD (with Honor)
    Wen-Tsün Wu Honorable Class, Shanghai Jiao Tong University, Shanghai, China
    Embodied AI
    • Object-centric Manipulation Understanding
    • Infrastructure for Embodied AI
  • M.Sc
    Shanghai Jiao Tong University, Shanghai, China
    Computer Vision
    • Object Detection, Segmentation
  • Bachelor
    School of the Gifted Young, University of Science and Technology of China, Hefei, China
    Organic Chemistry

Awards

  • Forbes China 30 Under 30
    Forbes China
  • MIT C.C. Tung Global Collboration Fellowship
    MIT
  • Yunfan Award
    World Conference on Artificial Intelligence (WAIC)

Languages

Chinese
Native speaker
English
Fluent

Interests

Safe Human-Robot Interaction
Physical human-robot interaction safety
Contact-rich manipulation around people
Human Motion Mechanisms
Musculoskeletal modeling
Muscle-actuated control
Biomechanically grounded motion understanding
Omni-modal Perception
Visual-tactile sensing
Force and proprioceptive fusion
Distributed tactile arrays
High-frequency Force Control
Real-time compliant control
Differentiable physics for contact
Multiphysics simulation
Novel Embodiment and Sensor Design
Hardware for safe physical interaction
Stretchable and distributed tactile sensors
Compliant mechanism design