Ghaith Bilbeisi

Princess Sumaya University for Technology

Papers

Total Citations

H-Index

About

Ghaith Bilbeisi is a researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems, path planning, and obstacle avoidance. His most cited work, "PSO-AG: A Multi-Robot Path Planning and Obstacle Avoidance Algorithm" (2015, 7 citations), introduces a novel approach that combines Particle Swarm Optimization with a modified A* algorithm to enable efficient, collision-free navigation for multiple robots in dynamic environments. This contribution addresses a fundamental challenge in robotics—balancing computational efficiency with real-time adaptability—and has been recognized as a practical solution for autonomous systems. Bilbeisi’s research is particularly notable for its emphasis on online path planning, where robots must make decisions without prior knowledge of the environment, a critical capability for applications in search-and-rescue, warehouse automation, and autonomous exploration. While his citation count reflects a focused but impactful body of work, his algorithm stands out for its integration of swarm intelligence and heuristic search, offering a scalable framework for multi-agent coordination. For students and researchers in robotics, Bilbeisi’s work provides a clear example of how hybrid optimization techniques can solve complex real-world navigation problems.