Papers
7
Total Citations
78
H-Index
4
About
Guitao Sun is a leading researcher in the field of quadruped robotics, with a primary focus on enhancing the locomotion, control, and environmental adaptability of hydraulic quadruped robots. His major contributions center on developing advanced control strategies to improve joint precision, stability, and dynamic performance in complex terrains. Notably, Sun pioneered the use of active disturbance rejection control combined with a self-growing lévy-flight salp swarm algorithm for leg joint control, and he introduced a double internal model controller for superior joint force regulation. His work on trunk-based complex dynamic locomotive control has been instrumental in ensuring smooth, stable gait transitions. With over 78 citations across his most-cited publications, Sun’s research has significantly advanced the practical deployment of quadruped robots in challenging environments. His 2019 survey on coping strategies in complex situations remains a foundational reference, while his recent integration of diffusion-improved ant colony optimization for obstacle avoidance highlights his ongoing innovation in autonomous navigation. Sun’s achievements include developing decomposed optimal trajectory control based on model prediction, further solidifying his reputation as a key contributor to hydraulic robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Survey of Quadruped Robots Coping Strategies in Complex Situations34 citations · 2019
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- 5Joint Torque Control of Hydraulic Quadruped Robot4 citations · 2015
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