Papers
9
Total Citations
289
H-Index
7
About
Dongqing Shi is a robotics and artificial intelligence researcher whose work spans autonomous navigation, multi-robot coordination, and human-robot interaction. His most influential contributions lie in developing fuzzy behavior-based systems for robot navigation in complex environments, with his 2007 paper on preference-based fuzzy behaviors in cluttered settings accumulating 101 citations — establishing him as a notable voice in intelligent navigation paradigms. Shi's research extends across both ground-based and three-dimensional aerial platforms, addressing the challenging demands of unmanned aerial and underwater vehicle navigation in real-world urban environments. A significant thread of his work tackles the computationally formidable problem of task allocation in heterogeneous multi-robot and human-robot teams. His 2012 stochastic clustering auction framework, which garnered 97 citations, offers a practical approximate solution to this NP-hard problem, applicable in both centralized and distributed team configurations. Shi has also contributed meaningfully to human-aware motion planning, investigating how high-speed robots can operate safely and comfortably alongside humans. Complementing these efforts are explorations in reinforcement learning and UAV trajectory planning using A* algorithms. Collectively, his portfolio reflects a researcher deeply engaged in making autonomous robotic systems both smarter and more socially adaptive.
Research Focus
Key Achievements
Top Papers
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- 3Human-aware robot motion planning with velocity constraints46 citations · 2008
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- 5Aerial Robot Navigation in Cluttered Urban Environments8 citations · 2006
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- 9Trajectory planning of Unmanned Aerial Vehicle based on A* algorithm5 citations · 2014