Papers
32
Total Citations
998
H-Index
13
About
Hanlei Wang is a prominent robotics and control systems researcher whose work centers on adaptive control, networked robotic systems, and task-space trajectory tracking under conditions of kinematic and dynamic uncertainty. His most influential contribution, "Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics" (2016, 228 citations), established foundational frameworks for achieving robust task-space tracking despite simultaneous uncertainties in both robot kinematics and dynamics — a particularly challenging and practically significant problem. Building on this foundation, Wang has made substantial contributions to multi-robot coordination, developing passivity-based and cascade-framework approaches for synchronizing networked robotic systems, collectively attracting over 230 additional citations. His research extends to free-floating space manipulators, visual servoing without image-space velocity measurements, and closed-architecture robotic systems through his dynamic modularity approach — addressing real-world industrial constraints that most existing methods overlook. Wang's prediction error-based adaptive Jacobian controllers represent another distinctive thread in his work, enabling concurrent adaptation to multiple sources of uncertainty. With a cumulative citation count exceeding 900 across his top publications, Wang's research has meaningfully shaped modern adaptive robotics, offering both theoretical rigor and practical relevance for the next generation of autonomous robotic applications.
Research Focus
Key Achievements
Top Papers
- 11 Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics228 citations · 2016
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- 8Passive Separation Approach to Adaptive Visual Tracking for Robotic Systems40 citations · 2018
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