Muhammad Aziz Muslim
Papers
11
Total Citations
126
H-Index
6
About
Muhammad Aziz Muslim is a robotics researcher whose work centers on mobile robot kinematics, autonomous navigation, and intelligent control systems. With a career spanning nearly two decades, his research has made meaningful contributions to the foundational mathematics that govern how robots move and orient themselves in real-world environments. Muslim's most influential contributions lie in inverse kinematics modeling, particularly for differential drive and mecanum wheel mobile robots. His 2014 paper on two-wheeled differential drive systems (35 citations) and his 2015 work on four-wheeled mecanum drive robots (32 citations) have become notable references for researchers designing omnidirectional mobile platforms. These studies addressed the practical challenges of precise robot positioning and speed control, translating theoretical kinematics into experimentally validated implementations. Earlier in his career, Muslim explored neurologically inspired approaches to robot navigation, developing task segmentation methods using modular network Self-Organizing Maps (mnSOM), work that accumulated over 30 citations across multiple publications. His later research expanded into quadruped locomotion, pole-climbing hybrid robots, robotic arm manipulation, and model predictive control for collision avoidance, reflecting a consistently broadening research portfolio. Collectively, Muslim's work bridges theoretical robotics and practical engineering, offering students and fellow researchers replicable frameworks for building and controlling diverse robot platforms.
Research Focus
Key Achievements
Top Papers
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- 4A New Approach to Task Segmentation in Mobile Robots by mnSOM11 citations · 2006
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- 8Control of Pole-Climbing Robot Orientation using Self-Tuning Method4 citations · 2018
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- 10Design of geometric-based inverse kinematics for a low cost robotic arm2 citations · 2014