Garvit Suri

Indian Institute of Information Technology Allahabad

Papers

Total Citations

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About

Garvit Suri is a researcher at the forefront of intelligent warehouse logistics, specializing in the intersection of robotics, simulation, and congestion management. His work addresses a critical bottleneck in modern e-commerce: the sudden surge in online orders that strains warehouse operations. Suri’s major contribution lies in developing simulation-aided anticipatory congestion avoidance strategies, a novel approach that predicts and mitigates robot traffic jams before they occur—moving beyond reactive methods in the literature. His most-cited paper, "Simulation Aided Anticipatory Congestion Avoidance for Warehouses" (2022), has garnered 2 citations, reflecting early recognition of its practical significance. By integrating real-time simulation with predictive algorithms, Suri’s research enhances the efficiency of robotic picking and sorting systems, directly impacting supply chain productivity. His work is particularly notable for addressing a real-world problem: as warehouses scale, his anticipatory models offer a scalable solution to maintain throughput. For students and researchers, Suri’s contributions exemplify how simulation-driven optimization can transform logistics, making him a rising voice in industrial robotics and operations research.