Dawei Tu
Papers
7
Total Citations
59
H-Index
5
About
Dawei Tu is a leading researcher in mobile robotics and human-robot interaction (HRI), with a focus on assistive technologies for the elderly and disabled. His work bridges autonomous navigation and intuitive control systems, developing algorithms that enable robots to operate safely in complex environments. Tu’s most cited paper introduces a hybrid APF-BUG path-planning algorithm (24 citations), which solves the GNRON problem by modifying potential field functions, ensuring mobile robots can reach goals even near obstacles. He has also pioneered multimodal HRI frameworks, such as a “human-robot integration” system for healthcare applications (14 citations), and an ACT-R-typed collaboration mechanism (5 citations) that models human cognitive decision-making for shared control. Tu’s contributions extend to gaze-tracking calibration (6 citations) and point cloud registration using fused 2D/3D data (5 citations), enhancing robot perception. His recent work on hand gesture recognition for underwater manipulators (2023) demonstrates ongoing innovation in non-verbal HRI. With a career spanning foundational navigation algorithms to advanced cognitive interfaces, Tu’s research has significant implications for service robotics, assistive technology, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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