Trung T. Nguyen

University of Southern Mississippi, Winona State University

Papers

Total Citations

H-Index

About

Trung T. Nguyen is a researcher advancing the frontiers of swarm robotics and multi-agent systems, with a focus on decentralized decision-making and autonomous navigation. His most impactful work, "Blockchain Approach to Solve Collective Decision Making Problems for Swarm Robotics" (2019, 24 citations), pioneers the integration of blockchain technology to enhance trust, transparency, and fault tolerance in swarm coordination—a novel solution addressing critical challenges in decentralized control. Nguyen further contributes to collision-free navigation through "Cumulative Training and Transfer Learning for Multi-Robots Collision-Free Navigation Problems" (2019, 6 citations), demonstrating how transfer learning can accelerate training for complex multi-robot environments. His exploration of "Reinforcement learning as a rehearsal for swarm foraging" (2021, 3 citations) underscores his commitment to scalable, adaptive algorithms for real-world applications like precision farming and surveillance. By bridging blockchain’s security with swarm intelligence, Nguyen offers a transformative framework for collective decision-making, positioning his work at the intersection of robotics, AI, and distributed systems. His research not only addresses practical deployment challenges but also inspires future studies in resilient, autonomous robot teams.