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Senthilkumaran Kumaraguru is a pioneering researcher in the field of robotic additive manufacturing (AM), with a particular focus on multi-axis deposition systems, process planning, and collaborative robotics. His work addresses fundamental challenges in deploying industrial and collaborative robots for complex metal fabrication processes, most notably Direct Energy Deposition (DED). Kumaraguru's most influential contribution, a 2018 review on path planning for collaborative robots in AM (15 citations), laid important groundwork for understanding how six-axis robotic systems can enhance productivity and geometric complexity in manufacturing. Building on this foundation, his 2022 research introduced novel, support-free process planning algorithms for five-axis CNC and robotic DED systems, while his 2020 volume decomposition methodology addressed the sophisticated challenge of coordinating multiple robots for collaborative AM tasks — a particularly difficult problem involving bonding effects and work allocation strategies. More recently, his work on motion synchronization for open-source collaborative robots demonstrates a commitment to making advanced robotics more accessible and affordable. Collectively accumulating over 37 citations, Kumaraguru's research is shaping the future of intelligent, flexible manufacturing systems, making him a valuable reference for students and researchers exploring the intersection of robotics, automation, and additive manufacturing.