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About

Mingyue Qin is a robotics researcher whose work focuses on advancing the locomotion and manipulation capabilities of biped and humanoid robots. Her key research areas include state estimation, slip prevention, and the design of elastic actuation for legged systems. Qin’s most notable contribution is a novel foot contact probability estimator that reduces state estimation errors caused by unreliable foot contact detection—a critical challenge for stable biped robot control. She also developed a parallel-elastic robot leg that uses spring assistance to enhance jumping performance under load, overcoming the torque limitations of conventional motors. Her work on simultaneously preventing rotational and translational slip during humanoid walking addresses a common cause of falls on low-friction surfaces. Additionally, Qin has explored grasp optimization for humanoid hands, optimizing contact points to improve dexterous manipulation. Her research has garnered citations from the robotics community, with her most cited paper receiving 5 citations. By tackling fundamental issues in bipedal stability, actuation, and grasping, Qin’s work contributes to making humanoid robots more robust and capable in real-world environments.