Papers
5
Total Citations
27
H-Index
4
About
Mengnan Li is a researcher at the forefront of robotics, artificial intelligence, and environmental remote sensing, whose work bridges the gap between intelligent systems and real-world applications. His major contributions span three key areas: the development of novel swarm intelligence algorithms for path planning, the design of soft robotic systems for medical rehabilitation, and the global validation of satellite aerosol products. Notably, Li introduced the Para-PSO-ABC algorithm (ParaPA), a multi-swarm-evolutionary structure inspired by parasitic relationships in nature, which significantly improves mobile robot path planning. In rehabilitation robotics, he has pioneered the design and adaptive control of a parallel chambered pneumatic muscle-driven soft hand robot for grasping therapy, and developed a CNN-based framework for hand grasping prediction using postural synergy basis extraction. His work on the global evaluation of NOAA-20 VIIRS dark target aerosol products (7 citations) demonstrates his versatility, contributing to environmental monitoring. With over 27 citations across his most-cited papers, Li’s research has been published in high-impact venues, showcasing his ability to integrate bio-inspired computation, soft robotics, and remote sensing. His achievements highlight a commitment to advancing both theoretical algorithms and practical assistive technologies, making him a notable figure in interdisciplinary engineering research.
Research Focus
Key Achievements
Top Papers
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