Lucas Wan
Papers
9
Total Citations
47
H-Index
5
About
Lucas Wan is a robotics researcher whose work focuses on collaborative multirobot systems, human-robot interaction, and advanced control strategies. His key contributions span role-based collaboration, bilateral teleoperation, and sliding mode control, addressing challenges in both single and multi-manipulator coordination. His most cited work, "Role Engine Implementation for a Continuous and Collaborative Multirobot System" (13 citations), establishes frameworks for assigning and evaluating robot roles in heterogeneous teams, while his survey on collaborative robotics (5 citations) provides a comprehensive overview of planning and control advances in the field. Wan has also developed vision-based systems for human hand tracking and robotic grasping (5 citations), and proposed novel admittance-based nonsingular terminal sliding mode control for cooperative manipulators (5 citations). His research on hybrid human/robot team establishment using the E-CARGO model (4 citations) and adaptive impedance control for multi-robot formations with time-varying delays (3 citations) further demonstrates his breadth. With publications spanning 2021-2025, Wan’s work is increasingly cited for its practical implementations in teleoperation, pick-and-place tasks, and robust trajectory tracking, making him a rising contributor to collaborative robotics and control theory.
Research Focus
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Top Papers
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