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About

Zhiqiang Teng is a researcher focused on the intersection of robotics, rehabilitation engineering, and computer vision. His work primarily addresses the design and automation of robotic systems for medical and assistive applications, with a particular emphasis on cognitive and physical rehabilitation. Teng’s major contributions include developing an integrated target acquisition approach and GUI tool for the automated assembly of parallel manipulators, which streamlines complex manufacturing processes. He also pioneered a robotic cognitive rehabilitation system that uses computer vision to assist patients with mild cognitive impairment (MCI) in block design tests, effectively bridging the treatment gap when therapists are unavailable. Additionally, Teng designed a cost-effective, 1-degree-of-freedom lower limb rehabilitation robot with humanoid gait, leveraging a Watt-I six-bar mechanism to simplify structure and reduce costs for community and home use. His most-cited paper, on parallel manipulator assembly, has garnered 9 citations, while his cognitive rehabilitation work has received 5 citations, reflecting growing interest in accessible robotic therapy solutions. Teng’s innovations in low-cost, humanoid-gait robots and vision-based cognitive training highlight his commitment to making rehabilitation technology more practical and widely available.