Suresh Ramasamy

Carnegie Mellon University, Oregon State University

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About

Suresh Ramasamy is a roboticist whose research lies at the intersection of motion planning, geometric mechanics, and optimal control for complex robotic systems. His most influential work, "Dynamically Feasible Motion Planning through Partial Differential Flatness" (2014, 8 citations), addresses a critical limitation in robotics: while differentially flat systems simplify trajectory generation, many underactuated robots lack this property. Ramasamy’s contribution extends flatness-based planning to a broader class of systems, enabling efficient computation of dynamically feasible motions where traditional methods fail. In recent years, Ramasamy has focused on the geometric analysis of locomotion, particularly for bio-inspired and kinematic swimmers. His 2023 paper on "Geometric analysis of gaits and optimal control for three-link kinematic swimmers" (5 citations) and his 2022 work on "Characterizing Error in Noncommutative Geometric Gait Analysis" (4 citations) tackle the fundamental problem of optimizing shape changes to produce effective displacement. He rigorously quantifies the errors introduced by variational gait optimization techniques, providing a framework for more accurate and reliable motion planning in robotic locomotion. Through these contributions, Ramasamy is advancing the theoretical foundations of robotic motion, making it possible to design more efficient and capable robots for underwater and other challenging environments.