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About

Tian Lin Song is a researcher in bio-inspired robotics, focusing on the design and control of robotic systems that mimic animal locomotion. Their major contributions lie in developing bionic snake-like and fish-like robots, with an emphasis on structural design, propulsion mechanisms, and embedded control systems. Song’s work on snake-like robots introduced novel 3D movement capabilities—including winding, turning, and spiraling—using modular joint structures and microcontroller-based control. Their research on robotic fish explored carangiform propulsion and sensor integration for tasks like obstacle avoidance and color discrimination. With over 20 citations across their most-cited papers, Song’s studies have advanced practical applications in biomimetic robotics, particularly through the use of Arduino and AT89C2051 microcontrollers for distributed and centralized control. Notable achievements include the development of a 3D bionic snake-like robot capable of complex terrestrial motions and a multi-joint robotic fish with enhanced maneuverability. Song’s work bridges mechanical design and embedded systems, offering foundational insights for students and researchers in robotics, mechatronics, and biomimetics.