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About

Sijie Li is a leading researcher in biomimetic robotics, with a focus on bio-inspired underwater vehicles and multi-robot systems. Their work centers on developing advanced control strategies and mechanical designs for robotic fish and dolphins, addressing critical challenges in aquatic locomotion, maneuverability, and system robustness. Li's major contributions include pioneering event-triggered control frameworks for multi-robotic fish systems, enabling dynamic pursuing and surrounding of evaders—a breakthrough for cooperative underwater missions. They have also designed novel robotic dolphins with multiple control surfaces, achieving robust depth and heading control in complex environments, and introduced an integral molding flexible fish tail that optimizes speed and efficiency through tail flexibility. With over 40 citations across their most-cited works, Li's impact is evident in papers like "Model-Based Event-Triggered Dynamic Pursuing and Surrounding Control for a Multi-Robotic Fish System" (11 citations) and "Robust Depth and Heading Control System for a Novel Robotic Dolphin" (10 citations). Their research on 3-D path following for hybrid-actuated robotic fish and fault-tolerant heading control for gliding dolphins further showcases their versatility. Li's work is instrumental in advancing autonomous underwater robotics, offering practical solutions for environmental monitoring, search-and-rescue, and marine exploration.