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About

Zhaotian Wang is a robotics researcher whose work focuses on the locomotion and control of novel mobile robots, particularly multi-mode parallel robots and undulating-fin amphibious systems. His major contributions include the development of a rolling assistant robot with two distinct rolling modes, for which he proposed a multi-mode motion strategy and path planning algorithm based on chessboard-shaped grid division—a novel approach that enables efficient navigation in constrained environments. This work, published in 2018, has garnered 7 citations and laid the foundation for his subsequent research. Wang has also made significant strides in optimizing the terrestrial locomotion of undulating-fin amphibious robots. His 2024 papers introduce asynchronous control and phase-difference optimization to enhance stability and efficiency, as well as the use of separated elastic fin rays to improve terrestrial locomotion stability. These contributions, with 5 and 2 citations respectively, address critical challenges in bio-inspired robotics. Wang’s research is notable for its practical focus on real-world deployment, offering innovative solutions for robots operating in complex, multi-terrain environments. His work is highly relevant for students and researchers interested in mobile robotics, path planning, and amphibious locomotion.