Inder Preet

Papers

Total Citations

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About

Inder Preet is a researcher at the forefront of Edge AI and collaborative robotics, focusing on the real-time integration of artificial intelligence with mobile robotic platforms. His most-cited work, a comprehensive 2022 review on Edge AI solutions for mobile collaborative robotics, has garnered 19 citations and stands as a key reference in the field. In this paper, Preet systematically examines how Edge AI technologies enable advanced process monitoring, planning, and control by processing sensory data locally, thereby reducing latency and enhancing autonomy. His contributions are particularly significant for developing synergetic human-robot interactions, where real-time decision-making is critical. By bridging the gap between edge computing and robotics, Preet’s research addresses practical challenges in industrial automation, logistics, and smart manufacturing. His work not only synthesizes current advancements but also identifies future directions for deploying intelligent, responsive robotic systems. For students and researchers exploring the intersection of AI and robotics, Preet’s scholarship offers a foundational understanding of how edge-based intelligence can transform collaborative platforms into more efficient, adaptive, and autonomous tools.