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About

A. Sridhar Reddy is a robotics and automation researcher whose work centers on the kinematics, motion planning, and intelligent control of redundant robotic manipulators, with particular emphasis on agricultural and industrial applications. His most influential contribution, "Collision-free Inverse Kinematics of Redundant Manipulator for Agricultural Applications through Optimization Techniques" (2022), has garnered 11 citations and introduces a sophisticated optimization-based framework for solving inverse kinematics in complex 9-DOF manipulator systems featuring both revolute and prismatic joints — a notable advance in tackling the inherent redundancy challenges that arise in unstructured agricultural environments. Building on this foundation, Reddy extended his optimization expertise to welding applications through multi-objective approaches, demonstrating the versatility of his methodologies across diverse industrial domains. His work on dual-arm agricultural mobile robots and virtual prototyping of redundant manipulators further reflects a comprehensive research vision encompassing simulation, modelling, and real-world deployment of autonomous harvesting systems. Collectively accumulating over 20 citations, his research addresses critical challenges including fruit picking, collision avoidance, and robust motion control, positioning him as an emerging contributor to the growing field of agricultural robotics and intelligent automation.