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About

Mehdi Shahabi is a roboticist specializing in the motion planning and control of redundant robotic manipulators for complex industrial applications. His research focuses on solving the intricate challenges of automated welding, particularly for intersecting pipe joints—a geometry that demands sophisticated path planning to avoid collisions and ensure weld quality. Shahabi’s major contributions include developing redundancy-resolution algorithms that optimize joint motion while avoiding singularities and joint limits, as well as introducing the “safety ring” concept for efficient obstacle avoidance. His work on multi-layer welding path planning for thick-walled pipes addresses a critical need in heavy manufacturing. With his most-cited paper, “Path Planning of Complex Pipe Joints Welding with Redundant Robotic Systems,” garnering 17 citations, and several other papers published in 2019-2022 accumulating over 50 citations, Shahabi’s research demonstrates clear impact. Notably, his comparative study of sample-based motion planning methods provides a valuable benchmark for the field. Shahabi’s work bridges the gap between theoretical robotics and practical, high-precision welding automation.