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About

Ebrahim Seidi’s research focuses on the dynamic modeling and control of robotic systems, with a particular emphasis on dual-arm mobile manipulators for agricultural applications. His work addresses the complex challenges of automating tasks such as fruit-picking and pruning of tall trees, where dexterous, multi-arm coordination is essential. Seidi’s major contributions include the symbolic derivation of governing equations for these systems, employing advanced formulations like the recursive Gibbs-Appell method to capture the intricate dynamics of manipulators mounted on nonholonomic mobile bases. His most-cited paper, “Symbolic derivation of governing equations for dual-arm mobile manipulators used in fruit-picking and the pruning of tall trees” (2014), has garnered 49 citations, reflecting its foundational role in agricultural robotics. Additionally, his studies on parametric analysis of dual-arm manipulators with revolute-prismatic joints provide critical insights into system performance and stability. By advancing the theoretical framework for mobile manipulation, Seidi has laid important groundwork for the development of more capable and efficient robotic harvesters, bridging the gap between classical mechanics and practical automation in challenging outdoor environments.