Shengchuan Li
Shanghai Electric (China), Electric Power Research Institute
Papers
10
Total Citations
305
H-Index
8
About
Shengchuan Li is a leading researcher in intelligent robotics and advanced control systems, with a particular focus on mobile robots operating in challenging industrial environments. His work centers on developing sophisticated control algorithms for magnetic wheeled mobile robots (MWMRs), power-line inspection robots, and two-wheeled self-balancing robots, leveraging cutting-edge techniques in fuzzy logic and adaptive dynamic programming. Li’s most impactful contribution is his pioneering use of general type-2 fuzzy systems and sliding-mode control theory to enhance robot trajectory tracking and robustness under uncertainty. His 2020 paper on modeling and trajectory tracking control for MWMRs using improved dual-heuristic dynamic programming has garnered 61 citations, while his 2019 work on general type-2 fuzzy gain scheduling PID controllers for power-line inspection robots has been cited 57 times. With over 300 total citations across his top papers, Li has demonstrated significant influence in the field. He has also explored data-driven predictive control using interval type-2 T-S fuzzy neural networks and hierarchical fuzzy path planning, showcasing his versatility. Notably, his recent work extends to X-ray imaging for GIS equipment detection and hyperredundant manipulators, reflecting a broad commitment to solving real-world industrial challenges through intelligent automation.
Research Focus
Key Achievements
Top Papers
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