Papers
9
Total Citations
325
H-Index
5
About
Shuaikang Zheng is a leading researcher in multi-robot systems, sensor fusion, and tactile sensing, whose work bridges the gap between soft robotics and autonomous navigation. His most impactful contribution is the development of a flexible tactile electronic skin sensor based on porous CNTs/PDMS nanocomposites, capable of three-dimensional force detection—a paper that has garnered 223 citations and opened new avenues for human–machine interaction and robotic manipulation. In the domain of multi-robot localization, Zheng has pioneered range-aided cooperative systems, using Ultra-Wideband (UWB) and visual-inertial odometry (VIO) fusion to achieve drift-free, accurate relative positioning for ground robot teams, with key works accumulating over 70 citations. His research also addresses fundamental challenges in sensor calibration, including visual-aided IMU calibration via frequency-domain optimization and tight coupling of RGB-D cameras with wheel odometry. Zheng’s contributions are critical for GNSS-denied environments, enabling robust cooperative mapping and reconstruction. With a portfolio of highly cited papers and innovative approaches to deep learning for odometry, he is shaping the future of autonomous robotics and intelligent sensing.
Research Focus
Key Achievements
Top Papers
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- 8Range-Aided LiDAR Cooperative Localization and Mapping4 citations · 2024
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