Papers
20
Total Citations
296
H-Index
9
About
Junwei Han is a distinguished robotics and control systems researcher whose work has fundamentally advanced the understanding and practical application of parallel robotic manipulators and rehabilitation robotics. With a career spanning over two decades, Han has built a formidable body of research centered on spatial six-degree-of-freedom (6-DOF) electro-hydraulic parallel robots, developing sophisticated control frameworks that address one of the field's most persistent challenges: dynamic coupling in complex robotic systems. Han's most influential contributions include pioneering decoupled-space control (DSC) methodologies using singular value decomposition — work that has garnered over 120 citations collectively — and real-time state estimation techniques that brought spatial parallel robots closer to practical industrial deployment. His early development of Global Newton-Raphson methods for forward kinematics and neural network-based pose accuracy compensation demonstrated remarkable breadth across both computational and control domains. In later years, Han expanded his expertise into medical robotics, applying adaptive impedance control principles to lower limb rehabilitation systems, reflecting a meaningful pivot toward human-centered applications. His Simulink/SimMechanics modeling frameworks have also proven valuable pedagogical and research tools for the broader robotics community. Across more than 250 cumulative citations, Han's work represents a rigorous, application-driven approach to advancing parallel robot performance in both industrial and clinical settings.
Research Focus
Key Achievements
Top Papers
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- 7Parallel robots pose accuracy compensation using artificial neural networks14 citations · 2005
- 8Adaptive robust control for spatial hydraulic parallel industrial robot12 citations · 2011
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- 10Passive training control for the lower limb rehabilitation robot9 citations · 2017