Papers
5
Total Citations
28
H-Index
3
About
Husheng Wu is a pioneering researcher in swarm robotics, artificial intelligence, and environmental automation, whose work bridges biological intelligence and practical engineering solutions. His most impactful contribution is a swarm intelligence labour division approach for solving complex area coverage problems, addressing challenges like nonlinear boundaries and forbidden zones in multi-robot systems—a paper that has garnered 11 citations and laid foundational principles for cooperative control. Wu also advanced deep learning applications in sustainability, developing an efficient recognition and localization method for waste plastic bottles (8 citations), enabling precise color-based sorting to boost recycling efficiency. His research extends to wolf pack intelligence, translating biological collective behaviors into cooperative control strategies for swarm robotics, and to receding horizon fuzzy optimization for robot path planning, which mitigates oscillation in dynamic environments. With a career spanning from early path-planning innovations to cutting-edge AI-driven environmental solutions, Wu’s work has earned recognition for its interdisciplinary impact, directly contributing to ecological sustainability and autonomous systems. His studies are essential reading for researchers in swarm intelligence, robotics, and green technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5