Maitreya Sreeram

Papers

Total Citations

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About

Maitreya Sreeram is a researcher whose work sits at the intersection of human-machine collaboration, cyber-physical systems, and intelligent manufacturing, with a particular focus on shaping the future of industrial automation. His research critically examines the evolving role of humans within increasingly automated environments, challenging the assumption that full automation is always optimal. In his widely cited 2021 work on human-in-the-loop systems in cyber-physical agricultural settings (26 citations), Sreeram demonstrates how human judgment remains indispensable in dynamic, unstructured environments. This theme extends into his exploration of multi-agent system optimization in next-generation warehouses (18 citations), where he investigates how technologies like warehouse robotics and the Internet of Things can be intelligently coordinated to enhance supply chain efficiency. His earlier contribution to Collaboration Requirement Planning (17 citations) introduced HUB-CI, a brain-inspired virtual model designed to manage the complexity of modern production systems. Across these works, Sreeram consistently bridges cognitive and computational paradigms to advance the concept of Automation 5.0 — where human intelligence and machine capability are viewed as complementary rather than competing forces in the factories of the future.