Haiyu He

Papers

Total Citations

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About

Haiyu He is a researcher at the forefront of intelligent robotics and visual perception, with key contributions spanning visual tracking, bionic manipulation, and infrastructure surveillance. His most cited work introduces a practical tracking method based on Best Buddies Similarity (2023, 19 citations), which solves the critical challenge of nonrigid object deformation for bionic robots—a problem that arises when camera perspective changes during movement. This real-time approach directly enhances a robot’s ability to perceive and interact with dynamic environments. He also pioneered a leader-follower heterogeneous surveillance system (2024) for high-speed railway lines, addressing persistent issues like camera blind spots and slow emergency response to improve passenger and infrastructure security. Earlier, he developed a rotation-traction manipulation bionic training robot (2017) that combines visual servo and impedance control, tackling the high risk of medical malpractice in cervical spondylosis therapy by providing a safer, more effective training platform for novice physicians. Through these works, He demonstrates a clear commitment to translating computer vision and control theory into practical, high-impact solutions for robotics, healthcare, and public safety.