Minqiang Gu
Papers
3
Total Citations
44
H-Index
3
About
Dr. Minqiang Gu is a leading researcher in swarm robotics, with a particular focus on bio-inspired algorithms and automated pattern generation. His work bridges the gap between natural collective behaviors and engineered robotic systems, enabling swarms to perform complex tasks with minimal human intervention. Dr. Gu’s most impactful contribution is the development of an automated pattern generation framework using constrained multi-objective genetic programming (2023, 20 citations), which allows swarm robots to autonomously evolve optimal formations for diverse missions. He is also renowned for his bioinspired environment exploration algorithm (2022, 15 citations), which integrates Lévy flight and artificial potential fields to mimic animal foraging, significantly improving swarm exploration efficiency in unknown terrains. Further, his revolutionary entrapment model (2022, 9 citations) employs gene regulatory networks and adaptive decision mechanisms to enable uniform swarm robots to dynamically encircle multiple targets—a breakthrough for applications in search-and-rescue and defense. With over 44 citations across his top works, Dr. Gu’s research is shaping the future of autonomous, scalable, and adaptive robotic swarms.
Research Focus
Key Achievements
Top Papers
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