Jianhui Wang

About

Dr. Jianhui Wang is a leading researcher in robotics and intelligent control systems, with a primary focus on rehabilitation robotics, multi-DOF robot dynamics, and human-robot interaction. His most influential work introduces a Lagrange dynamic simplified modeling method for multi-DOF robots (13 citations), which significantly reduces computational complexity by eliminating unknown binding forces—a foundational contribution to efficient robotic control. Dr. Wang has advanced rehabilitation technology through adaptive velocity field control for upper-limb rehabilitation robots, addressing patient-induced control disruptions, and more recently, through data-driven model-free adaptive containment control for exoskeletons under input constraints (6 citations), enabling robust, uncertainty-tolerant therapy. His research also spans collision-free path planning for dual-arm robots using improved ant colony algorithms and deep learning-based gesture recognition for interactive wheelchair control, demonstrating a commitment to assistive and autonomous systems. With a career marked by innovative solutions to real-world robotic challenges, Dr. Wang’s work has laid critical groundwork for safer, more adaptive rehabilitation and human-robot collaboration.

Research Focus

Key Achievements

Top Papers

1. 1
   A kind of Lagrange dynamic simplified modeling method for multi-DOF robot1

   13 citations · 2016
2. 2
   Data-Driven Model-Free Adaptive Containment Control for Uncertain Rehabilitation Exoskeleton Robots with Input Constraints

   6 citations · 2024
3. 3
   Adaptive velocity field control of upper-limb rehabilitation robot

   5 citations · 2016
4. 4
   Collision-free path planning of Dual-arm robots based on improved ant colony algorithm

   5 citations · 2009
5. 5
   Deep Learning Based Gesture Recognition and Its Application in Interactive Control of Intelligent Wheelchair

   2 citations · 2019

Key Collaborators

Contact & Links