Tong Duy Son

2 accepted papers

2025

ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights

Jean Pierre Allamaa, Panagiotis Patrinos, Tong Duy Son

IROS 2025

Amidst the surge in the use of Artificial Intelligence (AI) for control purposes, classical and model-based control methods maintain their popularity due to their transparency and deterministic nature. However, advanced controllers like Nonlinear Model Predictive Control (NMPC), despite proven capab

Cited by 2 Source ↗Scholar ↗

2024

Driving from Vision through Differentiable Optimal Control

Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Tong Duy Son

IROS 2024poster

This paper proposes DriViDOC: a framework for Driving from Vision through Differentiable Optimal Control, and its application to learn autonomous driving controllers from human demonstrations. DriViDOC combines the automatic inference of relevant features from camera frames with the properties of no…

Cited by 1 Source ↗Scholar ↗