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About

Elangovan Muniyandy is a researcher whose work sits at the dynamic intersection of robotics, artificial intelligence, and intelligent systems. His research spans autonomous delivery robots, space robotics, underwater vehicles, and advanced 3D perception technologies, positioning him as a versatile contributor to applied robotics engineering. His most cited work, "Design and Development of Delivery Robot for Commercial Purpose" (2022, 25 citations), demonstrates his commitment to solving real-world challenges in last-mile delivery and home automation through innovative robotic design. Building on this foundation, Muniyandy extended his work to address energy resilience in disaster scenarios, exploring sustainable power solutions that keep delivery robots operational under critical conditions. His investigations into intelligent space robots and AI-integrated robotic systems highlight his broader interest in merging advanced information technology with next-generation autonomous platforms. More recently, his work on point cloud instance segmentation reflects a forward-looking engagement with 3D perception for applications in robotics and augmented reality. With over 50 cumulative citations across publications between 2020 and 2023, Muniyandy's research offers meaningful contributions to both the theoretical foundations and practical deployment of intelligent autonomous systems across diverse and challenging environments.