Papers
12
Total Citations
301
H-Index
5
About
Hai-Tao Zhang is a leading researcher in cyber-physical systems, multi-agent flocking, and human-robot collaboration, whose work bridges theoretical modeling and real-world engineering applications. His most influential contribution is the data-driven discovery of cyber-physical systems (2019, 168 citations), which addresses the challenge of modeling complex systems like smart grids and intelligent manufacturing by integrating software with physical processes. Zhang has also made significant strides in understanding collective behavior, notably through his studies on flocking in bounded spaces (2013, 41 citations) and the hierarchical leadership dynamics in pigeon flocks (2016, 34 citations), which reveal how slight changes in attractive/repulsive functions can trigger dramatic aggregation pattern transitions (2011, 20 citations). His recent work extends to practical robotics, including sectorial coverage control in non-convex environments (2023, 17 citations) and human multi-robot cooperative manipulation (2023, 4 citations), demonstrating a commitment to advancing autonomous systems. With over 300 total citations across his publications, Zhang’s research has profound implications for robotics, swarm intelligence, and industrial automation, making him a pivotal figure in the evolution of intelligent, collaborative machines.
Research Focus
Key Achievements
Top Papers
- 1Data driven discovery of cyber physical systems168 citations · 2019
- 2Algorithms and Experiments on Flocking of Multiagents in a Bounded Space41 citations · 2013
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- 6Human Multi-robot Cooperative Manipulation Based on Distributed Control4 citations · 2023
- 7Variable Impedance Control of Manipulator Based on DQN4 citations · 2020
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- 9Vision-Based Position/Impedance Control for Robotic Assembly Task3 citations · 2019
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