Truong X. Nghiem — accepted AI-conference papers

2026

SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks

Zirui Zang, Ahmad Amine, Nick-Marios T. Kokolakis, Truong X. Nghiem, Ugo Rosolia, Rahul Mangharam

RA-L 2026

Robots executing iterative tasks in complex, uncertain environments require control strategies that balance robustness, safety, and high performance. This paper introduces a safe information-theoretic learning model predictive control (SIT-LMPC) algorithm for iterative tasks. Specifically, we design

Cited by 2 Source ↗code ↗Scholar ↗

2024

Connectivity-Preserving Distributed Informative Path Planning for Mobile Robot Networks

Thanh Binh Nguyen, Truong X. Nghiem, Linh Nguyen, Hung M. La, Thang Nguyen

RA-L 2024

This letter addresses the distributed informative path planning (IPP) problem for a mobile robot network to optimally explore a spatial field. Each robot is able to gather noisy environmental measurements while navigating the environment and build its own model of a spatial phenomenon using the Gaus

Cited by 7 Source ↗Scholar ↗