Max Robotics — Global Service Robot Directory + US Certification

About

Mohammad Faidzul Nasrudin is a leading researcher in intelligent robotics, multi-agent systems, and STEM education, whose work bridges cutting-edge autonomous navigation and real-world educational impact. His most influential contribution is a comprehensive systematic review on decentralized multi-robot collision avoidance (2022, 33 citations), which critically analyzed path-planning challenges for exploration teams in hazardous environments like disaster sites. He has pioneered swarm intelligence approaches for multi-robot search, notably developing a multi-swarm particle swarm optimization with local search (15 citations) that enables robots to efficiently locate targets in complex, obstacle-filled environments. Nasrudin has also made significant advances in robot soccer, from ball control techniques to adaptive defense strategies and humanoid self-localization using single-camera vision—tackling real-time perception and coordination challenges. Beyond technical robotics, his work on Kolb-based STEM modules (23 citations) assessed Malaysian students’ perceptions and interests, demonstrating how hands-on robotic prototypes can inspire the next generation of engineers. His research consistently addresses the critical gap between theoretical algorithms and practical deployment, with papers on dynamic environment path planning and artificial marker localization further solidifying his reputation. With over 100 citations across his portfolio, Nasrudin’s work continues to shape both autonomous multi-robot systems and STEM pedagogy.