Muhammad Husnain Haider
University of Electronic Science and Technology of China, Tongji University
Papers
4
Total Citations
61
H-Index
3
About
Muhammad Husnain Haider is a multidisciplinary researcher whose work spans robotics, artificial intelligence, and advanced manufacturing systems. His primary contributions lie in autonomous mobile robot navigation, where he has pioneered the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to enable collision-free movement in cluttered and unknown environments. His most cited work, "Robust Mobile Robot Navigation in Cluttered Environments" (2022, 37 citations), addresses critical limitations of prior navigation approaches by integrating hybrid neuro-fuzzy inference with sensor fusion, significantly improving performance under real-world uncertainty. Complementing this, his work on autonomous mobile robot navigation using ANFIS further establishes his expertise in intelligent control systems. Beyond ground robotics, Haider has contributed to the emerging field of biomimetic micro aerial vehicles, co-authoring research on nanogenerator-integrated self-powered wings for flying robots (16 citations), demonstrating a creative cross-disciplinary reach. His more recent work on AI-integrated job-shop scheduling reflects a broadening of his research agenda into smart manufacturing and optimization. Collectively, his publications signal a researcher committed to bridging intelligent systems with real-world engineering challenges, making his work highly relevant to students and practitioners in robotics and automation.
Research Focus
Key Achievements
Top Papers
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