Sagar Kalburgi

Papers

Total Citations

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About

Sagar Kalburgi is a researcher at the intersection of manufacturing and robotics, with a primary focus on coverage path planning (CPP) algorithms for machining operations. His most cited work, "Application of Coverage Path Planning Algorithm for Milling Operations" (2020), which has garnered 5 citations, introduces a novel approach to optimizing tool paths in CNC milling by adapting robotic CPP techniques. This contribution addresses a critical challenge in subtractive manufacturing—minimizing machining time while ensuring complete surface coverage—bridging the gap between autonomous navigation and industrial automation. Kalburgi’s research demonstrates how algorithms originally designed for robotic exploration can be repurposed to enhance efficiency in material removal processes, offering potential reductions in energy consumption and tool wear. While his citation count reflects an emerging career, the work’s interdisciplinary nature positions it as a foundational piece for future studies in smart manufacturing and digital twin integration. His achievements highlight a growing trend of applying computational geometry and path optimization to traditional manufacturing, making his research relevant for students and engineers seeking to modernize production workflows.