Zigen Song
Papers
7
Total Citations
77
H-Index
3
About
Zigen Song is a robotics and nonlinear dynamics researcher whose work sits at the innovative intersection of biologically inspired control systems and legged locomotion. His research focuses primarily on central pattern generator (CPG) controllers — computational models inspired by neural circuits — and their application to multi-legged and snake-like robotic systems. Song's most significant contributions involve harnessing delay-coupled Van der Pol (VDP) oscillators to generate rhythmic locomotion patterns, enabling robots to adaptively switch between complex gaits suited to diverse environments. His 2022 study on spatiotemporal periodicity in delayed Van der Pol oscillators for snake-like robots and his 2023 work on quadruped gait generation have each garnered 32 citations, establishing him as an emerging authority in CPG-based locomotion control. Song has systematically extended this framework across locomotion architectures — from snake and quadruped robots to hexapods — demonstrating versatility and depth in his approach. His more recent work addresses mechanical reliability in robotic arms, indicating a broadening research scope. Collectively, Song's contributions offer valuable theoretical and practical tools for designing adaptive, bioinspired robots capable of navigating complex real-world terrains.
Research Focus
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Top Papers
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