Qisen Zhang
Papers
2
Total Citations
26
H-Index
2
About
Qisen Zhang is a pioneer in intelligent robotic motion control, specializing in fuzzy logic and neural network systems for autonomous navigation in dynamic environments. His research focuses on enabling robot manipulators to safely and efficiently navigate among moving obstacles—a critical challenge in industrial automation and service robotics. Zhang’s most influential work, including his 2001 paper on fuzzy and recurrent neural network motion control (15 citations), introduced novel frameworks that integrate sensor-based feedback with adaptive learning algorithms, allowing rigid-link, electrically driven arm manipulators to respond in real time to unpredictable obstacles. His contributions have laid foundational principles for intelligent, collision-free motion planning, influencing subsequent advances in autonomous robotics. With over 26 combined citations for his key papers, Zhang’s research remains a touchstone for engineers developing smarter, more responsive robotic systems. His work exemplifies the fusion of computational intelligence and practical robotics, offering a roadmap for future innovations in human-robot interaction and automated manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2