Anuj Deb Roy

Papers

Total Citations

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About

Anuj Deb Roy is a researcher whose work centers on the intersection of human-machine interaction and robotic systems, with a particular focus on assistive and mimicking robotics. His most cited contribution, "Mimicking Robotic Arm" (2018), demonstrates a practical, low-cost approach to creating a mechanical arm that replicates human motion using an Arduino-UNO platform. This work addresses critical challenges in environments where direct human intervention is difficult or dangerous, offering a foundational design for human-machine interfaces in robotics. While his citation count of 4 reflects the niche, early-stage nature of this contribution, the paper serves as a valuable proof-of-concept for accessible robotic replication. Roy’s research is notable for its emphasis on bridging the gap between human dexterity and robotic precision, with potential applications in industrial automation, remote operation, and assistive technologies. His work underscores a commitment to developing intuitive, cost-effective robotic solutions that can be adapted for real-world challenges where human presence is limited.