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About

Yinghao Jia is a leading researcher in legged robotics, specializing in the locomotion control, planning, and dynamic stability of quadruped robots. His work addresses fundamental challenges in enabling robots to navigate complex, unstructured environments with agility and robustness. Jia’s major contributions include the development of a novel hierarchical planning framework for multicontact locomotion, which overcomes the limitations of fixed contact schedules to enhance robot flexibility. He has also pioneered the use of the Virtual Pivot Point concept for posture control in legged locomotion and introduced an impulse-based feasibility analysis for free gait generation, allowing for online gait adaptation without predefined patterns. His research on fall prediction, control, and recovery has garnered 11 citations, underscoring its impact on robot safety. Additionally, Jia has designed a portable planner for autonomous exploration in unstructured terrains, leveraging elevation mapping to optimize computational efficiency. With over 30 citations across his most-cited works, Yinghao Jia is recognized for advancing the practical deployment of quadruped robots in real-world applications, bridging the gap between theoretical control methods and robust, adaptive locomotion.