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About

Huanjie Han is a robotics researcher whose work centers on the development of intelligent assistive technologies, particularly elderly-assistant and walking-assistant robots (EWR). His research addresses a critical societal challenge: improving the quality of life and safety of aging populations through advanced robotic systems capable of adaptive, real-world assistance. Han's most significant contributions lie in the application of fuzzy logic control to assistive robotics. His 2017 paper on fuzzy control for EWR systems, which has garnered 13 citations, introduced novel approaches to improving movement-mode accuracy and overall intelligent control in elder-care robots. Building on this foundation, his 2018 work implemented behavior-based obstacle avoidance using ultrasonic sensors and fuzzy logic, enabling robots to navigate complex environments reactively and safely. That same year, Han also tackled the biomechanical dimension of assistive robotics, proposing dynamic modeling methods to control walking posture and prevent falls — one of the most serious risks facing elderly individuals. Collectively, Han's research bridges artificial intelligence, sensor integration, and human-centered robotics, contributing meaningful advancements to the growing field of elder-care automation. His work reflects a sustained commitment to designing smarter, safer robotic companions for an aging global population.