Gabriel Mansour

About

Gabriel Mansour is a leading researcher in industrial robotics and manufacturing automation, whose work has fundamentally advanced how robots are programmed and deployed in complex environments. His pioneering research focuses on three core areas: off-line programming for manufacturing, path planning optimization, and the application of bio-inspired algorithms to robotic systems. Mansour’s seminal 2004 paper on off-line programming of industrial robots, with 128 citations, established foundational methods for simulating and optimizing robot tasks without halting production. He further demonstrated his expertise in optimization by developing a hybrid genetic algorithm to determine optimum robot base locations, a work cited 70 times. More recently, Mansour has been at the forefront of integrating Industry 5.0 concepts, notably through his 2025 paper on digital twin-driven four-dimensional path planning for collaborative robots. His innovative use of artificial fish swarm algorithms and ant colony optimization for three-dimensional path planning has consistently pushed the boundaries of what is possible in environments with obstacles. With a career spanning from foundational inverse kinematics solutions to cutting-edge collaborative robotics, Mansour’s 128+ citations underscore his lasting impact on both theoretical and applied robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Off-line programming of an industrial robot for manufacturing

   128 citations · 2004
2. 2
   Determination of optimum robot base location considering discrete end-effector positions by means of hybrid genetic algorithm

   70 citations · 2006
3. 3
   Optimization of robot links motion in inverse kinematics solution considering collision avoidance and joint limits

   18 citations · 1995
4. 4
   Path planning optimization for mechatronic systems with the use of genetic algorithm and ant colony

   10 citations · 2019
5. 5
   Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems

   9 citations · 2024
6. 6
   Enhanced Hybrid Artificial Fish Swarm Algorithm for Three-Dimensional Path Planning Applied to Robotic Systems

   6 citations · 2025
7. 7
   Digital Twin Driven Four-Dimensional Path Planning of Collaborative Robots for Assembly Tasks in Industry 5.0

   5 citations · 2025
8. 8
   Finding the optimal path in a 3D environment with predefined obstacles

   4 citations · 2024
9. 9
   Four-Dimensional Path Planning Methodology for Collaborative Robots Application in Industry 5.0

   2 citations · 2025

Key Collaborators

Contact & Links