Linlin Zeng

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About

Linlin Zeng is a rising researcher in the field of bio-inspired robotics, with a primary focus on the motion control and trajectory tracking of snake robots and robotic fish. Their work addresses critical challenges in autonomous underwater and terrestrial locomotion, particularly the elimination of sideslip and the mitigation of external disturbances. In their most-cited paper (2022, 14 citations), Zeng introduced a novel trajectory tracking control technique for snake robots that integrates an optimized line-of-sight guidance law with coefficient approximation, effectively eliminating sideslip and enhancing closed-loop system stability. More recently (2024, 5 citations), they extended this expertise to robotic fish, developing an anti-disturbance path-tracking controller that combines tracking error constraints with an adaptive integral guidance mechanism. This work is notable for its rigorous handling of virtual control inputs to suppress deviation. Zeng’s contributions are significant for advancing the practical deployment of snake-like and fish-like robots in complex, real-world environments where precise, disturbance-resistant navigation is essential. Their research demonstrates a clear progression from theoretical control design to application-specific solutions, marking them as an emerging authority in bio-inspired robotic control.