Chiman Kwan

About

Dr. Chiman Kwan is a leading figure in intelligent control systems and autonomous robotics, with a career that bridges foundational theory and high-impact space applications. He is best known for pioneering robust neural network (NN) controllers for nonlinear systems, a contribution that has garnered over 450 citations for his seminal 2000 work on robust backstepping control. His research addresses two core areas: adaptive control of complex robotic systems (including rigid-link, flexible-joint, and electrically driven robots) and advanced image processing for planetary exploration. A hallmark of his approach is the development of online NN weight tuning schemes that eliminate the need for offline learning, ensuring global stability and bounded tracking errors—a breakthrough detailed in his highly cited 1998 paper on rigid-link robots. More recently, Dr. Kwan has made a remarkable impact on space robotics by applying image registration techniques to process Mastcam images from NASA’s Curiosity rover on Mars, enabling image fusion, pixel clustering, and anomaly detection. His work also extends to multi-player pursuit-evasion differential games for unmanned assets. With over 900 total citations across his top ten papers, Dr. Kwan’s career exemplifies how rigorous control theory can be translated into real-world autonomous systems, from factory floors to the surface of Mars.

Research Focus

Key Achievements

Top Papers

1. 1
   Robust backstepping control of nonlinear systems using neural networks

   453 citations · 2000
2. 2
   Robust neural-network control of rigid-link electrically driven robots

   149 citations · 1998
3. 3
   A Novel Utilization of Image Registration Techniques to Process Mastcam Images in Mars Rover With Applications to Image Fusion, Pixel Clustering, and Anomaly Detection

   80 citations · 2017
4. 4
   A Hierarchical Approach To Multi-Player Pursuit-Evasion Differential Games

   51 citations · 2006
5. 5
   Robust adaptive control of robots using neural network: global tracking stability

   41 citations · 2002
6. 6
   Hybrid force/position control for manipulators with motor dynamics using a sliding-adaptive approach

   40 citations · 1995
7. 7
   Robust adaptive force/motion controlof constrained robots

   28 citations · 1996
8. 8
   Robust Adaptive Control of Robots Using Neural Network: Global Stability

   24 citations · 2001
9. 9
   Robust force/motion control of constrained robots using neural network

   23 citations · 1999
10. 10
    Robust neural network control of flexible-joint robots

    14 citations · 2002

Key Collaborators

Contact & Links