Mohd Hanif Harun

Technical University of Malaysia Malacca

Papers

Total Citations

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About

Dr. Mohd Hanif Harun is a robotics researcher whose work focuses on bio-inspired navigation and odor-sensing technologies for autonomous systems. His primary research areas include swarm intelligence, particularly Particle Swarm Optimization (PSO), and its application to robotic movement in two-dimensional environments. His most cited paper, "Particle Swarm Optimization (PSO) for Simulating Robot Movement on Two-Dimensional Space Based on Odor Sensing" (2017, 3 citations), pioneers the integration of PSO algorithms with olfactory sensors to enable robots to locate odor sources—a critical capability for environmental monitoring, search-and-rescue, and hazardous material detection. By simulating how robots can mimic biological odor-tracking behaviors, Dr. Harun's work bridges theoretical swarm algorithms with practical robotic implementations. Though his citation count is modest, his research contributes to the growing field of bio-inspired robotics, offering foundational insights into how collective intelligence can enhance autonomous navigation. His work stands as a valuable reference for researchers exploring the intersection of swarm optimization and sensory-driven robotics.