Papers

5

Total Citations

46

H-Index

3

About

Huai-Ning Wu is a leading researcher in the field of multi-robot systems, with a focused expertise in plume and scalar field source localization. His work masterfully integrates swarm intelligence, quantum-inspired algorithms, and optimization theory to enable teams of mobile robots to autonomously locate environmental sources, such as chemical leaks or pollution plumes. Wu’s major contributions include the development of novel swarm search mechanisms that not only guide robots toward a source using field strength measurements but also incorporate critical real-world constraints like collision and obstacle avoidance. His 2020 paper on multi-robot source location, which has garnered 30 citations, stands as a foundational work in this area. More recently, he has advanced the field by introducing distributed quantum-behaved guidance strategies that ensure formation maintenance and robust performance under communication restrictions. With a total of over 45 citations across his most-cited works, Wu’s research is pivotal for applications in environmental monitoring, disaster response, and industrial safety, demonstrating a clear trajectory from theoretical swarm evolution to practical, constraint-aware robotic coordination.

Research Focus

Key Achievements

3
H-Index
5
Papers
46
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Robot Source Location of Scalar Fields by a Novel Swarm Search Mechanism With Collision/Obstacle Avoidance
30 citations · 2020
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Beihang University, Peng Cheng Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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