Rajiv Raman

Indraprastha Institute of Information Technology Delhi

Papers

Total Citations

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About

Rajiv Raman is a leading researcher in multi-robot systems and long-duration autonomy, with a focus on the algorithmic challenges of persistent operations. His most notable contribution is the formulation of the Persistent Robot Charging Problem, which addresses the critical issue of scheduling recharging for heterogeneous robot fleets to minimize downtime and maximize utilization. This work, published in 2025 and already garnering 3 citations, provides a rigorous mathematical framework for ensuring that autonomous systems can operate indefinitely without human intervention—a key bottleneck in real-world deployments. Raman’s research bridges theoretical optimization and practical robotics, offering scalable solutions for applications in environmental monitoring, warehouse logistics, and search-and-rescue. His approach to heterogeneous fleet coordination has been recognized for its elegance and applicability, making him a rising figure in the robotics community. By tackling the intersection of scheduling theory and autonomous systems, Raman is shaping the future of how robots sustain themselves in the field, enabling longer missions and greater operational resilience.