most citedAnalyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control

11 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Safety-Constrained Optimal Control for Unknown System Dynamics

Panagiotis Kounatidis, Andreas A. Malikopoulos

In this paper, we present a framework for solving continuous optimal control problems when the true system dynamics are approximated through an imperfect model. We derive a control…

cs.RO202611 cited

Analyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control

Simon Sagmeister, Panagiotis Kounatidis, Sven Goblirsch +1

Simulation is crucial in the development of autonomous driving software. In particular, assessing control algorithms requires an accurate vehicle dynamics simulation. However, rece…

eess.SY2025

Combined Learning and Control: A New Paradigm for Optimal Control with Unknown Dynamics

Panagiotis Kounatidis, Andreas A. Malikopoulos

In this paper, we present the combined learning-and-control (CLC) approach, which is a new way to solve optimal control problems with unknown dynamics by unifying model-based contr…

math.OC2025

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator

Weijian Li, Panagiotis Kounatidis, Zhong-Ping Jiang +1

Policy optimization has drawn increasing attention in reinforcement learning, particularly in the context of derivative-free methods for linear quadratic regulator (LQR) problems w…

eess.SY2025

Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming

Viet-Anh Le, Panagiotis Kounatidis, Andreas A. Malikopoulos

In this paper, we develop a fast mixed-integer convex programming (MICP) framework for multi-robot navigation by combining graph attention networks and distributed optimization. We…