Haiquan Sang

Shandong Institute of Automation, Chinese Academy of Sciences

Papers

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About

Haiquan Sang is a pioneering researcher in biomimetic robotics, with a primary focus on the motion control and behavioral algorithms of robot fish. His work bridges biology and engineering, drawing inspiration from the neural mechanisms of real fish to create more agile and autonomous underwater vehicles. Sang's most significant contribution is the development of a Central Pattern Generator (CPG)-based controller for a multi-fin robot fish, detailed in his highly cited 2006 paper (21 citations). This work integrated a two-linked tail, 2-DOF pectoral fins, and onboard sensors (infrared and gyro) for real-time obstacle detection and posture control, representing a major step toward lifelike, untethered underwater robots. He further advanced the field by analyzing velocity control algorithms for carangiform robot fish (2005, 5 citations) and designing multi-behavior patrol algorithms for swarm robotics (2005, 9 citations). Sang's research has laid critical groundwork for the development of robust, energy-efficient UUVs capable of complex missions in unstructured aquatic environments, making him a key figure in the evolution of biomimetic underwater robotics.