Hossam M. Kasem

Papers

Total Citations

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About

Hossam M. Kasem is an emerging robotics and computational intelligence researcher whose work centers on robotic motion planning, trajectory optimization, and nature-inspired metaheuristic algorithms. His research has made notable strides in advancing path planning methodologies for industrial robotic arms, with a particular focus on the widely-used KUKA KR4 R600 platform as a rigorous testbed for algorithm evaluation. Kasem's most recognized contributions include systematic, controlled comparisons of state-of-the-art optimization techniques — most notably the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) — applied to six-degree-of-freedom robotic systems. His work integrates quintic joint-space trajectory planning with Artificial Potential Field methods, delivering smooth, dynamically feasible, and obstacle-free robot motion under realistic operational constraints. Crucially, his like-for-like experimental frameworks ensure fair benchmarking, with WOA demonstrating superior obstacle-avoiding performance, achieving a shortest path of just 0.714 units with smooth dynamic profiles. Together accumulating 13 citations within their publication year, his papers signal growing recognition within the robotics community. For students and researchers exploring intelligent motion planning, Kasem's work offers both practical insight and methodological rigor that bridges theoretical optimization with real-world robotic applications.