Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Norhaliza Abdul Wahab is a leading researcher in intelligent manufacturing systems, specializing in the integration of adaptive algorithms and robotics for flexible production environments. Her primary contributions lie in developing advanced fuzzy-genetic algorithms to solve complex scheduling problems, particularly for mobile robots operating within job-shop flexible manufacturing systems (FMS). Her most cited work, "Adaptive fuzzy-genetic algorithm operators for solving mobile robot scheduling problem in job-shop FMS environment" (2024, 16 citations), introduces a novel optimization framework that significantly enhances production efficiency. Building on this, her 2025 paper (8 citations) incorporates local search mechanisms to further refine integrated production and robot scheduling. Dr. Wahab also addresses critical automation challenges, as demonstrated in her 2018 work on automating pick-and-place operations in contact lens manufacturing, where she designed a robotic system to replace manual labor. Her recent research on efficient autonomous navigation in dynamic environments (2024, 2 citations) explores multi-robot coordination and real-time obstacle avoidance, pushing the boundaries of reliable FMS automation. With a consistent focus on bridging theoretical optimization and practical industrial robotics, Dr. Wahab’s work is pivotal for advancing smart manufacturing and autonomous material handling systems.