Papers
19
Total Citations
226
H-Index
9
About
Yimin Zhou is a leading researcher in robotics and autonomous systems, with key contributions spanning robot navigation, path planning, and sensor technologies. Her work integrates deep learning, control algorithms, and multisensor fusion to solve real-world challenges in dynamic and complex environments. Notably, she pioneered door recognition for visual-based robot navigation using convolutional neural networks (55 citations), and developed the "Clothbot" climbing robot with advanced movement control algorithms (28 citations). Her real-time path planning method using OP-PRM (21 citations) addresses navigation in crowded, dynamic settings, while her DDIO-Mapping framework (14 citations) tackles localization in low-texture environments. Zhou has also ventured into healthcare robotics, demonstrating the efficacy of socially assistive robots in reducing children’s pain during medical procedures (10 citations). Her recent work on multifunctional piezoresistive sensors using MXene/CNC/WPU aerogels (14 citations) highlights her versatility in robotics sensing. With over 200 total citations and publications from 2014 to 2025, Zhou’s research consistently pushes boundaries in autonomous navigation, human-robot interaction, and sensor innovation, making her a pivotal figure in modern robotics.
Research Focus
Key Achievements
Top Papers
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- 6An approach to restaurant service robot SLAM14 citations · 2016
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- 8Kinect depth image based door detection for autonomous indoor navigation12 citations · 2014
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- 10A Review of Multisensor Information Fusion Technology9 citations · 2018