Kinkwan Lam

Chinese University of Hong Kong, University of British Columbia

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About

Kinkwan Lam is a pioneering researcher in robotics, whose work has fundamentally advanced the field of visual servoing and redundant robot control. His primary research areas include adaptive control for uncalibrated visual servoing, dynamic image-based robot manipulation, and kinematic optimization for redundant manipulators. Lam’s most significant contribution is the development of a novel adaptive controller for dynamic visual servoing that operates reliably even when a camera’s intrinsic and extrinsic parameters are unknown—a critical breakthrough for real-world, unstructured environments. By employing a matrix-based approach to handle the nonlinear dependence of the image Jacobian, his work, published in 2005 and 2006, has garnered 15 citations each, establishing a foundation for subsequent research in uncalibrated robot vision. Earlier, in 1989, Lam demonstrated his versatility by formulating a conjugate-gradient-based constrained optimization scheme for the self-motion of 9-R redundant robots, achieving 6 citations for its efficiency in incremental trajectory planning. Through these contributions, Lam has provided essential tools for adaptive, vision-guided robotics and efficient kinematic control, leaving a lasting impact on both theoretical and applied robotics research.