JingYe He

Harbin University of Science and Technology

Papers

Total Citations

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About

JingYe He is a leading researcher in the field of quadruped robotics, with a primary focus on enhancing robot stability, mobility, and autonomous navigation in complex environments. His work addresses critical challenges in legged locomotion, particularly in developing strategies for robots to cope with dynamic and unpredictable situations. He is best known for his comprehensive survey on quadruped robots' coping strategies in complex situations, which has garnered 34 citations and serves as a foundational reference for researchers in the field. He has also made significant contributions to disturbance suppression, introducing a virtual spring-damping model that improves body stability during running by countering self-generated and external interference. More recently, He has advanced obstacle avoidance path planning by developing the diffusion-improved ant colony optimization (DIACO) algorithm, which overcomes the slow convergence and poor stability of traditional methods. His work is highly regarded for its practical applications in robotics, and his research continues to push the boundaries of what quadruped robots can achieve in real-world scenarios.