Binh Nguyen

Papers

Total Citations

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About

Binh Nguyen is a rising researcher in multi-robot systems, specializing in distributed informative path planning (IPP) and real-time trajectory generation for mobile sensor networks. His work focuses on enabling teams of nonholonomic robots to autonomously explore and model spatial phenomena—such as environmental fields—while maintaining connectivity and avoiding collisions under limited computational resources. In his most-cited paper (2024, 6 citations), Nguyen introduced a connectivity-preserving distributed IPP algorithm that allows robot networks to optimally gather noisy measurements and build Gaussian process models of their environment. His 2023 work (3 citations) tackled the challenge of real-time distributed trajectory planning for formation tracking, addressing nonholonomic constraints and collision avoidance. Most recently (2025, 2 citations), he extended these ideas to spatiotemporally varying fields, enabling robots to map dynamic phenomena over time. Though early in his career, Nguyen’s contributions are already shaping the practical deployment of autonomous robot teams in environmental monitoring and exploration—paving the way for scalable, real-world multi-robot intelligence.