Aman Aggarwal

Papers

Total Citations

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About

Aman Aggarwal is a researcher at the forefront of swarm robotics and autonomous systems, with a focus on deploying multi-robot teams for critical real-world applications. His most-cited work, "Mine Detection using a Swarm of Robots" (2022, 5 citations), pioneers the use of decentralized, cooperative robot swarms to safely and efficiently locate landmines—a challenge that has traditionally posed immense risk to human life. By designing algorithms that enable robots to communicate, coordinate, and adapt in unknown terrains, Aggarwal’s research directly addresses military and humanitarian demining operations, offering a scalable, cost-effective alternative to manual detection. His contributions extend beyond theoretical frameworks; they provide a practical blueprint for integrating swarm intelligence into hazardous environments, reducing casualties and accelerating clearance efforts. While still early in his career, Aggarwal’s work has already garnered attention for its potential to transform defense and disaster response. His research sits at the intersection of robotics, artificial intelligence, and public safety, promising safer, smarter solutions for some of society’s most dangerous tasks.