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About

Bo An is a leading researcher in advanced robotics control, specializing in model predictive control (MPC) for rehabilitation, renewable energy, and emergency logistics systems. His work centers on developing intelligent trajectory tracking algorithms that enhance the precision and safety of robotic systems in critical applications. An’s most influential contribution is his 2024 study on Laguerre model predictive control for wearable upper limb rehabilitation robots, which has garnered 15 citations for its innovative approach to improving patient recovery outcomes. He has also made significant strides in sustainable technology, authoring a 2023 paper on MPC-based motion control for photovoltaic module dust-cleaning robotic arms, a key enabler of carbon-neutral energy production. Additionally, his 2023 research on fuzzy MPC for emergency supplies transport robots addresses the growing need for contactless distribution during crises. With a total of 28 citations across his top papers, An’s work demonstrates tangible impact in bridging theoretical control methods with real-world robotic applications. His achievements highlight a commitment to advancing human-robot interaction in healthcare, clean energy, and disaster response, making him a notable figure in the field of robotics and automation.