Yao Shi

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About

Yao Shi is a pioneering researcher in the field of bio-inspired underwater robotics, with a primary focus on the dynamic modeling and control of robotic manta rays that utilize median and/or paired fin (MPF) propulsion. Their major contributions include developing a realistic three-dimensional dynamic model for MPF robotic fish and a tube-model predictive control (MPC) based landing control system, which addresses the critical challenge of stable and precise landing maneuvers for these highly maneuverable underwater vehicles. Additionally, Shi has advanced mission-oriented control by proposing a model-free path-tracking method that integrates the line of sight (LOS) approach with Takagi-Sugeno (TS) fuzzy logic, validated through experiments on a robotic manta platform. Although their most-cited paper has garnered 4 citations since 2025, this early-career work represents a significant step toward enhancing the autonomy and stability of bio-inspired underwater robots. Shi’s research bridges the gap between theoretical dynamics and practical control, offering robust solutions for applications in marine exploration, environmental monitoring, and underwater intervention. Their innovative approach to combining flexible fin dynamics with advanced control strategies positions them as an emerging leader in soft robotics and autonomous underwater vehicle design.