Abdullah Abusorrah
Papers
5
Total Citations
159
H-Index
5
About
Abdullah Abusorrah is a leading researcher in the intersection of discrete event systems, robotics, and manufacturing automation. His work centers on developing formal methods—primarily using Petri nets—to solve critical challenges in deadlock prevention, scheduling, and control for complex robotic systems. A key contribution is his 2020 paper on deadlock-free supervisor design for robotic manufacturing cells with uncontrollable and unobservable events (45 citations), which introduced a novel Petri net formalism to ensure system safety. He further advanced the field by integrating timed Petri nets with A* search and admissible heuristic functions for scheduling robotic cellular manufacturing systems (44 citations). Beyond manufacturing, Abusorrah has made notable contributions to multi-object tracking for intelligent robots, proposing a center-based feature extraction algorithm to handle severe occlusion (39 citations). His recent work addresses scheduling for single-robotic-arm cluster tools under wafer residency time constraints (17 citations) and uses tabu search to guide robots around concave obstacles in source location problems (14 citations). With a consistent record of high-impact publications, Abusorrah’s research provides practical, mathematically rigorous solutions that enhance the efficiency, safety, and autonomy of robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Using Tabu Search to Avoid Concave Obstacles for Source Location14 citations · 2023