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About

Mohammad Rezaei is a robotics and control systems researcher whose work has made meaningful contributions to the design and autonomous control of in-pipe inspection robots and parallel robotic platforms. His most significant research focus lies in developing steerable screw-driven robots capable of navigating complex pipeline environments, including those with active fluid flow — a challenge that has long hindered practical deployment of traditional inspection systems. His 2017 paper on optimal control of screw in-pipe robots, garnering 25 citations, established a foundational framework for controllable pitch rate systems, while subsequent work introduced robust multivariable control strategies to handle real-world pipeline conditions. Rezaei has also advanced energy efficiency in these systems through dynamic optimization techniques, including Hamilton-Jacobi-Bellman path planning and turbine-based energy harvesting. Beyond pipeline robotics, his comparative study of inverse dynamic models for 6-DOF Stewart-Gough parallel robots demonstrates a broader expertise in complex robotic kinematics and dynamics. With a cumulative citation count exceeding 60 across his key works, Rezaei's research offers valuable engineering solutions for infrastructure inspection, industrial maintenance, and autonomous mobile robotics, making his publications essential reading for researchers in field robotics and mechatronic system design.