H. Tabealhojeh

Papers

Total Citations

H-Index

About

H. Tabealhojeh’s research focuses on robotics and optimization, with a particular emphasis on path planning for complex manipulator systems. Their most cited work introduces a novel two-step optimization path planning algorithm for serial robot manipulators with many degrees of freedom, leveraging the imperialist competitive algorithm (ICA). By formulating the path planning challenge as an optimization problem in three-dimensional space, Tabealhojeh developed a method that efficiently generates feasible, collision-free trajectories for high-DOF robotic arms—a critical advancement for industrial automation and advanced manufacturing. This 2014 paper has accumulated 4 citations, reflecting its niche but valuable contribution to the field. Tabealhojeh’s work bridges metaheuristic optimization and practical robotics, offering a systematic approach to solving complex motion planning problems that traditional methods struggle with. Their research is particularly relevant for students and engineers working on autonomous robotic systems, where efficient path planning directly impacts productivity and precision. By integrating ICA with robotic kinematics, Tabealhojeh demonstrates how nature-inspired algorithms can address real-world engineering constraints, making their contributions a useful reference for those exploring optimization-driven robotics solutions.