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Ashesh Goswami is a pioneering researcher whose work bridges autonomous vehicle navigation and robotic surgical systems. His primary research areas include autonomous driving, multi-vehicle tracking, and computer-assisted surgical robotics. Goswami made significant contributions to trajectory generation for lane-change maneuvers, developing foundational algorithms that enable autonomous vehicles to perform complex operations such as merging, highway entry/exit, and overtaking. His 2015 paper on this topic (7 citations) remains a key reference for autonomous driving primitives. Additionally, he designed an interactive multiple model-based two-stage multi-vehicle tracking algorithm (6 citations) that allows autonomous vehicles to accurately estimate neighboring vehicles' velocities under diverse road scenarios—critical for safe decision-making during lane changes. Beyond autonomous driving, Goswami contributed to medical robotics with a computer-assisted total knee replacement surgical system using a calibrated robot, published in IEEE Engineering in Medicine and Biology Magazine (6 citations). His work demonstrates a unique interdisciplinary impact, advancing both autonomous navigation and surgical precision. With over 19 total citations across his most-cited works, Goswami's research continues to influence autonomous vehicle control systems and robotic surgery.