Joonwoo Lee

Papers

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About

Joonwoo Lee is a robotics researcher whose work spans autonomous navigation, perception, and dynamic object manipulation. His most influential contribution, the "Heterogeneous-ants-based path planner" (2017), has garnered 47 citations and addresses the critical challenge of global path planning for mobile robots by drawing inspiration from swarm intelligence. Lee has also advanced robot localization through his marker-based method for camera position recognition (2021), a core technology for enabling robots to operate reliably in rapidly changing environments. In the domain of nonprehensile manipulation, Lee explores robotic batting as a primitive for dynamically handling moving objects without grasping—a step toward achieving human-level dexterity. His research is particularly notable for bridging theoretical algorithms with practical robotic applications, from path planning to real-time perception and manipulation. With a focus on enabling robots to navigate and interact with unstructured environments, Lee’s work continues to influence both mobile robotics and manipulation research, offering foundational insights for students and engineers developing autonomous systems.