About

Wei Dong is a prominent robotics researcher whose work spans autonomous aerial systems, multi-robot coordination, and intelligent motion planning. Best known for his contributions to unmanned aerial vehicle (UAV) technology, Dong has advanced the field through innovative algorithms and system designs that push the boundaries of what flying robots can achieve in complex, real-world environments. Among his most influential contributions is the Artificially Weighted Spanning Tree Coverage (AWSTC) algorithm (2020, 50 citations), which enables decentralized swarms of flying robots to collaboratively cover environments with remarkable efficiency and robustness. His active sense-and-avoid system (2021, 42 citations) introduced a novel paradigm for dynamic obstacle avoidance using a stereo camera with rotational freedom, eliminating the need for sensor fusion across wide fields of view. Earlier work on bridge inspection UAVs (2016) and the captivating challenge of robotic ball juggling (2015) demonstrated both his applied engineering prowess and his interest in dexterous aerial manipulation. Dong has also made notable strides in trajectory generation, aerial contact manipulation with compliant end-effectors, suspended load control, and multi-robot mapping using Gaussian mixture models. With over 197 cumulative citations across a decade of research, Wei Dong represents a vital voice in the evolution of intelligent, autonomous aerial robotics.

Research Focus

Key Achievements

9
H-Index
17
Papers
224
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An Artificially Weighted Spanning Tree Coverage Algorithm for Decentralized Flying Robots
50 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Shanghai Jiao Tong University, Zhejiang University, University of Michigan–Ann Arbor, Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago