Papers
9
Total Citations
46
H-Index
4
About
Muhammad Qomaruz Zaman is a robotics and control systems researcher whose work centers on autonomous mobile robots, intelligent control strategies, and human-robot interaction. His research has garnered over 45 citations across a growing body of work that bridges advanced control theory with practical robotic applications. Zaman's most influential contribution, a 2022 study on LiDAR-based trajectory-tracking using Fuzzy Sliding Mode Control (FSMC) for differential drive mobile robots, has attracted 15 citations and established him as a serious voice in autonomous navigation under real-world constraints such as friction torques. Building on this foundation, he has extended intelligent control methodologies to omnidirectional conveyor systems and Mecanum-wheeled mobile robots, integrating techniques such as Takagi-Sugeno fuzzy modeling, genetic algorithm optimization, and reinforcement learning to address complex nonlinear dynamics. Beyond navigation, Zaman has explored accessible human-robot interfaces through hand gesture-based teleoperation and early work on remotely operated underwater vehicles for coral rehabilitation, demonstrating a commitment to socially meaningful robotics. His 2024 fuzzy reinforcement learning framework for robots navigating varying slip conditions reflects his drive to push control adaptability further. Spanning from bomb-disposal systems to omnidirectional logistics platforms, Zaman's research reveals a versatile researcher steadily shaping the frontier of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Intelligent Motion Control Design for an Omnidirectional Conveyor System8 citations · 2023
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- 6Automatic Docking Based on Visual Feedback on Remotely Operated Vehicle3 citations · 2018
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