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About

Abdulmuttalib Rashid is a robotics and autonomous systems researcher whose work has made meaningful contributions to mobile robot navigation, multi-robot coordination, and intelligent control. His research spans path planning, obstacle avoidance, and biped robotics, with a particular focus on developing efficient algorithms for real-world robotic deployment. Rashid's most influential contribution is his visibility binary tree algorithm for path planning with obstacle avoidance (2013, 89 citations), which remains a cornerstone reference in the field. He further advanced navigation research through his virtual circle tangents algorithm, which elegantly represents polygonal obstacles as virtual circles to compute optimal robot trajectories. His multi-robot work — covering collision-free navigation, localization, and orientation estimation — addresses the practical challenges of coordinating robotic clusters, accumulating over 119 citations combined across three key studies. Beyond navigation, Rashid has explored intelligent control systems, applying adaptive fuzzy control with ant colony optimization to seven-link biped robots and employing nonlinear model predictive controllers with Bézier curves for waypoint navigation. His applied work extends to warehouse automation and automatic storage and retrieval systems, demonstrating a consistent drive to bridge theoretical algorithms with practical industrial solutions. With over 290 cumulative citations, his research continues to inform both academic and applied robotics communities.