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About

Lianhang Dou is a leading researcher in swarm robotics and bio-inspired optimization, with a focus on multi-robot coordination, path planning, and biomedical applications. His most influential work introduces novel multi-objective artificial bee colony algorithms for multi-robot path planning (20 citations), significantly advancing the field by optimizing foraging mechanisms and crowding distance calculations. Dou also pioneered the application of extended cooperative game theory to coordinated multi-robot target hunting (15 citations), developing effective obstacle avoidance models and search strategies. His innovative research extends to nanorobotics, where he proposed a bacteria foraging optimization algorithm for swarming nanorobots to eradicate cancer cells (5 citations), demonstrating the translational potential of his work in nanomedicine. Additionally, Dou has contributed to space robotics through contact-impact dynamics simulation using equivalent spring-damping models (4 citations). His work is characterized by a unique fusion of nature-inspired algorithms—artificial bee colony and bacteria foraging—with real-world robotic challenges, from planetary exploration to targeted drug delivery. With over 50 cumulative citations, Dou’s research continues to shape the future of autonomous multi-robot systems and their applications in critical domains.