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About

Zhijun Guo is a pioneering researcher in the field of bionic robotics, with a primary focus on quadruped robot design inspired by animal locomotion. His most influential work, "Design of bionic goat quadruped robot mechanism and walking gait planning" (2020, 28 citations), establishes him as a leading figure in bio-inspired engineering. By taking the goat as a bionic prototype, Guo developed innovative mechanical structures and gait planning algorithms that significantly improve a robot's walking stability and obstacle-jumping ability on slopes. His research extends to understanding natural motion actuators, as demonstrated in his study on bird neck structural characteristics and static motion features (2021, 10 citations). Guo has also contributed to flexible spine design for quadruped robots through kinematic analysis of Saanen goat spines under multi-slope conditions (2022). His work has garnered increasing attention, with his most recent contribution being an MPC-PID-based double-loop trajectory tracking algorithm for intelligent sweeping vehicles (2025). Through his systematic investigation of biological structures and their mechanical applications, Guo continues to advance the frontier of bionic robotics, offering valuable insights for researchers developing more agile and adaptable robotic systems.