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About

Chengcai Wang is a leading researcher at the intersection of bio-inspired robotics and intelligent underwater systems, with his work garnering over 240 citations. His primary research areas include biomimetic robotic fish, cooperative swarm intelligence, and sensor fusion for autonomous underwater vehicles. Wang’s most significant contribution is the development of a fish-robot-based IoT platform for smart ocean applications, which integrates multiple sensors as mobile collectors to build reliable information systems for the Internet of Underwater Things (IoUT). His highly cited work on cooperative artificial intelligence for underwater robotic swarms (71 citations) has established new paradigms for multi-robot coordination in aquatic environments. Wang has also made notable advances in bioinspired control systems, including closed-loop CPG-based control for obstacle avoidance and direction tracking in robotic fish (56 citations), and underactuated flexible gliding robotic fish designs (21 citations). His innovative approach extends beyond underwater robotics to include learning-based IMU dead-reckoning for UAV localization under sudden lighting variations and biomimetic crawling robots using dielectric elastomers. Wang’s work is characterized by its practical engineering focus, combining theoretical modeling with experimental validation to address real-world challenges in autonomous underwater exploration and environmental monitoring.