Mehran Jahed

Papers

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About

Mehran Jahed is a robotics researcher whose work centers on intelligent path planning and robust control for robotic systems. His most influential contribution, the 2011 paper "Path Planning for Mobile Robots using Iterative Artificial Potential Field Method," has garnered 34 citations and introduces a novel algorithm that refines the classic Artificial Potential Field (APF) approach. By preserving the simplicity of traditional APF while overcoming its local minima pitfalls through an iterative process, Jahed’s method offers a more reliable solution for mobile robot navigation in complex environments. This work has proven valuable for researchers seeking efficient, real-time path planning strategies. Additionally, in his 2008 study on "A Novel Approach for Robust Control of Single-Link Manipulators with Visco-Elastic Behavior," Jahed addresses a critical gap in manipulator control by accounting for material visco-elasticity—a factor often ignored in rigid-link assumptions. This research demonstrates his commitment to bridging theoretical control methods with real-world physical behaviors, enhancing the precision and robustness of robotic manipulators. Through these contributions, Jahed has established himself as a thoughtful innovator in robotics, advancing both navigation and control for more adaptive and reliable autonomous systems.