Papers
36
Total Citations
1,366
H-Index
20
About
Wen-An Zhang is a versatile researcher whose work bridges robotics, advanced sensing technologies, and control systems engineering. His research spans three interconnected domains: bioinspired electronic skin and haptic sensing, multi-robot control and estimation, and intelligent robotic manipulation. Zhang's most celebrated contributions lie in developing sophisticated pressure and tactile sensors that replicate human somatosensory capabilities. His 2020 work on bioinspired dual-mode pressure sensors (213 citations) demonstrated groundbreaking multifunctional electronic skin capable of decoding complex human motions, while subsequent studies pushed boundaries in softness identification and texture recognition for robotic hands, collectively accumulating nearly 300 additional citations. Equally significant is his foundational work in robot control and state estimation. His research on distributed model predictive control for multi-robot formation, moving horizon estimation for mobile robots, and multi-rate sensor fusion in wireless networks has profoundly influenced autonomous systems design, earning over 300 combined citations. Zhang has also made notable strides in deep reinforcement learning-based visual servoing and model predictive impedance control for manipulators, reflecting his commitment to intelligent adaptive robotics. A particularly creative contribution—a six-dimensional force sensor inspired by ancient Chinese tenon-and-mortise architecture—demonstrates his unique ability to draw inspiration across disciplines. Altogether, his work represents a compelling fusion of biomimicry, control theory, and practical robotics innovation.
Research Focus
Key Achievements
Top Papers
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- 5Moving Horizon Estimation for Mobile Robots With Multirate Sampling84 citations · 2016
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