Kim Doang Nguyen

South Dakota State University, Nanyang Technological University, University of Illinois Urbana-Champaign

Papers

Total Citations

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About

Kim Doang Nguyen is a robotics researcher whose work bridges the critical gap between theoretical motion planning and practical manipulation. His primary research areas include nonprehensile manipulation, robotic control systems, and multi-agent synchronization. Nguyen's most significant contribution lies in his trajectory-planning perspective on nonprehensile manipulation, where he systematically addresses object stability, motion planning, and manipulator control for handling asymmetric objects—a challenging problem in robotic dexterity. His 2020 article on this topic has garnered 19 citations, reflecting its relevance to advancing robotic manipulation without grasping. Earlier, Nguyen explored the intersection of human-robot interaction and entertainment robotics, developing a hybrid motion capture device to control a robotic puppet, a novel approach that earned 12 citations. His work on synchronization and consensus of robot networks operating on underactuated dynamic platforms, with 8 citations, demonstrates his ability to tackle complex control problems in distributed systems. By developing theoretical frameworks that require minimal system model information, Nguyen has made his approaches broadly applicable across various robotic platforms, establishing himself as a thoughtful contributor to the fields of robotic manipulation and networked control systems.