M. Mehrandezh

Papers

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About

Dr. M. Mehrandezh is a leading researcher in robotic interception and autonomous navigation, with a focus on developing real-time guidance strategies for robots interacting with dynamic environments. His seminal work, "Proportional navigation guidance for robotic interception of moving objects" (2000), introduces two novel methods that adapt proportional navigation—a concept from missile guidance—to enable robots to intercept fast-maneuvering objects online. This paper, with 15 citations, lays the foundation for his key contributions in trajectory planning and control, particularly in two-phase strategies that separate guidance from execution. Dr. Mehrandezh's research bridges robotics and control theory, offering practical solutions for applications like automated manufacturing, service robotics, and autonomous vehicles. His work is notable for its innovative use of ideal proportional navigation guidance (IPNG) in phase I of the interception process, demonstrating how classical guidance laws can be repurposed for robotic tasks. By integrating real-time sensing and control, he has advanced the field of robotic interception, inspiring further studies in motion planning and dynamic object tracking. His achievements underscore a commitment to solving complex, real-world challenges in robotics, making his research essential for students and engineers working on autonomous systems and human-robot interaction.