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About

Jianhai Han is a robotics researcher whose work spans intelligent control systems, rehabilitation robotics, and industrial automation. His early contributions established a foundation in sensor fusion and autonomous systems, exemplified by his 2014 work on a two-wheeled self-balancing robot utilizing MEMS-based inertial measurement to achieve stable locomotion — a paper that has garnered 11 citations and demonstrated his aptitude for integrating hardware and control algorithms. Han's research has since evolved toward human-centered robotics, with significant contributions to upper and lower limb rehabilitation systems. His 2022 work introduced a novel end-effector rehabilitation robot employing dual quaternion kinematics and spiral motion tracking, addressing compliance and mechanical complexity challenges faced by stroke patients (8 citations). Complementing this, his 2024 study on a bedside lower limb rehabilitation robot explored human-robot coupling dynamics using planar modeling principles. In industrial robotics, Han's recent hybrid force/position control framework simplifies robotic assembly teaching through wrist-mounted force sensing, reflecting his commitment to practical manufacturing applications. Across these domains, Han's research consistently bridges theoretical rigor with real-world usability, making meaningful advances in both clinical rehabilitation and intelligent manufacturing.