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About

Ahmad Alshorman’s research lies at the intersection of intelligent control, motion planning, and robotic locomotion, with a particular focus on autonomous systems operating in complex, dynamic environments. His most impactful work, a 2020 paper on “Fuzzy-Based Fault-Tolerant Control for Omnidirectional Mobile Robot,” has garnered 52 citations and addresses the critical challenge of ensuring robust navigation despite actuator failures. By leveraging fuzzy logic’s fast response, Alshorman developed a controller that maintains safe, obstacle-free path planning even under fault conditions. He has since extended these principles to aerial robotics, pioneering real-time collision-free motion planning for unmanned aerial vehicles (UAVs) in dynamic 3D space using potential force functions and fuzzy systems—works that have accumulated 10 and 8 citations, respectively. Earlier in his career, Alshorman explored novel locomotion paradigms, including an inertially actuated baton locomotor and kinematic analysis of particle-based linear chain mechanisms, demonstrating a foundational interest in how simple mechanical structures can generate complex gaits. His contributions are particularly valuable for students and researchers working on resilient autonomous navigation, offering practical frameworks for integrating fuzzy control with fault tolerance in both ground and aerial robots.