Mohd Murtadha Mohamad

Heriot-Watt University, University of Technology Malaysia

Papers

Total Citations

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About

Mohd Murtadha Mohamad is a robotics researcher whose work lies at the intersection of bio-inspired computation and autonomous motion planning. His primary research focuses on developing novel algorithms for robot path planning, particularly for articulated and multi-degree-of-freedom robotic systems operating in complex, obstacle-filled environments. His most significant contribution is the pioneering integration of Ant Colony Optimization (ACO) with the Probabilistic Roadmap Planner (PRM), a technique first introduced in his highly cited 2005 paper, "Ant Colony Robot Motion Planning" (32 citations). This approach leverages the collective foraging behavior of ants to efficiently map the connectivity of a robot's free space, dramatically improving pathfinding in challenging 3D spaces. He further extended this methodology to tackle the complexities of 6-DOF and multiple articulated robots, as detailed in his 2006 work (16 citations). By demonstrating that swarm intelligence can effectively guide sampling-based planners, Mohamad has provided a powerful framework for autonomous navigation. His research, including his exploration of foraging ant strategies, continues to influence the development of more adaptive and efficient robotic systems.