Papers
27
Total Citations
391
H-Index
10
About
Xuanyi Zhou is a dynamic robotics and human-machine interaction researcher whose work spans intelligent sensing, robotic control, and autonomous systems. Best known for pioneering multimodal approaches to human-robot interaction, Zhou's research on hand gesture recognition using combined electromyographic signals and depth vision (63 citations) established new benchmarks for intuitive HRI interfaces, complemented by a closely related muscle-computer interface study (36 citations). Zhou has made significant contributions to surgical robotics, developing bilateral teleoperation systems with Remote Center of Motion constraints (41 citations) and manipulability optimization for 7-DoF surgical manipulators, directly addressing safety-critical challenges in minimally invasive procedures. A landmark 2023 survey on LiDAR-based SLAM (50 citations) has rapidly become an essential reference for the robotic mapping community. Zhou's portfolio further extends to agricultural UAV systems, deep learning-based object detection for home service robots, and a remarkable fully-soft amphibious miniature robot powered by electrohydraulic actuation (32 citations). With over 310 total citations and consistent output across sensing, manipulation, and soft robotics, Zhou represents a versatile and increasingly influential voice in modern intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1Depth vision guided hand gesture recognition using electromyographic signals63 citations · 2020
- 2LiDAR-based SLAM for robotic mapping: state of the art and new frontiers50 citations · 2023
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