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About

Wenyu Cai is at the forefront of intelligent robotics, pioneering the integration of artificial intelligence with autonomous underwater and robotic swarm systems. His research focuses on cooperative AI, coverage path planning, and collaborative multi-agent hunting in complex 3D environments. Cai’s most influential work, "Cooperative Artificial Intelligence for underwater robotic swarm" (71 citations), establishes foundational frameworks for swarm intelligence in aquatic domains. He has made significant contributions to solving the coverage path planning problem through innovative Q-Learning approaches, as demonstrated in his highly cited 2023 paper (23 citations). His comprehensive survey on collaborative hunting with robotic swarms (2024, 16 citations) synthesizes key technologies and applications, serving as a critical resource for researchers. Cai has also advanced practical underwater robotics with novel 3D obstacle avoidance algorithms using sphere cross-section methods (14 citations) and binocular-vision-based systems for quadrocopter vehicles (7 citations). His recent work on decentralized self-attention based soft actor–critic models for multi-AUV formation control (2025) represents cutting-edge developments in autonomous coordination. Through these contributions, Cai is shaping the future of intelligent underwater systems and robotic swarms, with his research directly impacting autonomous exploration, environmental monitoring, and defense applications.