Ashutosh Kumar

Papers

Total Citations

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About

Ashutosh Kumar is a forward-thinking researcher at the intersection of artificial intelligence, robotics, and heritage science. His work centers on developing intelligent robotic systems capable of autonomously performing delicate archaeological tasks, from site surveying to artifact handling. His most-cited paper, "Machine Learning and AI based Robotic System for Archaeological Research" (2023), proposes a novel framework for integrating AI-driven decision-making with robotic platforms to enhance the precision and safety of excavations. While still early in his career—with 2 citations to this pioneering work—Kumar’s contributions signal a transformative shift in how technology can preserve and uncover human history. By bridging the gap between computational methods and field archaeology, he addresses a critical need for interdisciplinary collaboration. His research not only reduces manual labor risks but also opens new avenues for non-invasive exploration of fragile sites. Kumar’s vision positions him as a rising voice in the emerging field of digital archaeology, where his work promises to redefine traditional methodologies for future generations of researchers.