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About

Michel Theodor Mansour is a leading researcher in advanced robotics and intelligent automation, with a core focus on path planning for collaborative robotic systems. His work is at the forefront of Industry 5.0, where he develops novel algorithms that enable robots to navigate complex, three-dimensional environments while working safely alongside humans. Mansour’s major contributions include the creation of an enhanced hybrid artificial fish swarm algorithm for 3D path planning, which significantly improves obstacle avoidance and route efficiency in real-world robotic applications. He has also pioneered the integration of digital twin technology into four-dimensional path planning, adding the dimension of time to coordinate multi-robot assembly tasks with unprecedented precision. His most cited papers, including works on collaborative robot path planning in Industry 5.0, have collectively garnered over a dozen citations in just the past year, reflecting the immediate impact of his innovations. By addressing the critical challenge of safe, efficient robot navigation in human-centric workspaces, Mansour is helping to shape the next generation of smart manufacturing and human-robot collaboration.