Tao Zhang
Tsinghua University, State Key Laboratory of Vehicle NVH and Safety Technology, National Institute of Informatics, Shanghai Jiao Tong University, Guangdong University of Technology, Shandong Jianzhu University, University of Colorado Colorado Springs, Saga University, First Automotive Works (China), Shanghai Electric (China), Peking University, National Institute for Japanese Language and Linguistics, Institute of Art, Zhejiang University of Technology, Xi'an Technological University, Institute of Intelligent Machines, National Engineering Research Center for Information Technology in Agriculture, Shenyang Institute of Automation, Beijing Institute of Technology, Kunshan Industrial Technology Research Institute, Tianjin University of Technology and Education, Naval University of Engineering, Beijing University of Technology, Chinese University of Hong Kong
Papers
96
Total Citations
2,250
H-Index
23
About
Tao Zhang is a prominent robotics and artificial intelligence researcher whose work spans mobile robot navigation, autonomous systems, simultaneous localization and mapping (SLAM), and human-robot interaction. His most influential contribution, a 2021 comprehensive review of deep reinforcement learning for mobile robot navigation (458 citations), has become an essential reference for researchers applying modern machine learning techniques to autonomous movement challenges. Zhang's early work on vision-based gesture recognition (2005, 87 citations) helped lay groundwork for natural human-robot interaction, while his subsequent research on adaptive visual gesture recognition further advanced knowledge-based approaches to this problem. His contributions extend to autonomous systems more broadly, including surveys on intelligent unmanned systems (174 citations) and multi-sensor fusion SLAM integrating cameras, LiDAR, and IMU technologies. Zhang has also addressed motion planning challenges through artificial potential field methods and hybrid navigation algorithms for real-world environments. Notably, his 2019 work on adaptive oscillator-based control for hip assistive exoskeletons demonstrates a humanitarian dimension to his research, targeting mobility assistance for elderly and disabled individuals. With over 1,100 cumulative citations, Zhang's diverse yet interconnected body of work reflects a sustained commitment to advancing intelligent, autonomous robotic systems across both theoretical and applied domains.
Research Focus
Key Achievements
Top Papers
- 1Deep reinforcement learning based mobile robot navigation: A review458 citations · 2021
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- 3Current trends in the development of intelligent unmanned autonomous systems174 citations · 2017
- 4Camera, LiDAR, and IMU Based Multi-Sensor Fusion SLAM: A Survey93 citations · 2023
- 5Real-time Vision-based Gesture Recognition for Human Robot Interaction87 citations · 2005
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