2 papers
cs.AI2026
Evaluating LLMs as Interpretable Controllers for Dynamical Systems
Aleksander Ãstensen, Alberto Mino Calero, Anastasios M. Lekkas +1
Large Language Models (LLMs) are increasingly used for decision-making and reasoning tasks, yet their potential as controllers for physical systems remains largely unexplored. This…
cs.RO2025
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR
Sindre Benjamin Remman, Anastasios M. Lekkas
This paper presents a novel method for generating realistic counterfactual explanations (CFEs) in machine learning (ML)-based control for mobile robots using 2D LiDAR. ML models, e…