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About

Yongnan Jia is a leading researcher in the field of multi-agent robotics, with a primary focus on the distributed control and flocking of bio-inspired robotic fish systems. Her most significant contribution lies in pioneering decentralized algorithms that enable multiple robotic fish to achieve cohesive and formation flocking under the guidance of a single leader, even when the leader’s input is unknown or bounded. Her landmark 2014 paper, “Leader–Follower Flocking of Multiple Robotic Fish,” which has garnered 111 citations, introduced a novel combination of consensus algorithms and attraction/repulsion functions to solve this challenge. Jia further validated these theoretical frameworks through experimental implementations, as demonstrated in her 2014 work on distributed flocking algorithms, which received 21 citations. Her research extends to practical applications, including path planning for robot fish in water-polo games using the tangent circle method. By bridging theoretical control theory with real-world aquatic robotics, Jia has established herself as a key figure in advancing autonomous underwater multi-agent systems, with her work serving as a foundational reference for researchers exploring swarm intelligence and bio-inspired robotics.