Autonomous Decision-Making With Incomplete Information and Safety Rules Based on Non-Monotonic Reasoning - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Accéder directement au contenu
Article Dans Une Revue IEEE Robotics and Automation Letters Année : 2021

Autonomous Decision-Making With Incomplete Information and Safety Rules Based on Non-Monotonic Reasoning

Résumé

In this article we propose a decision process integrating Non-Monotonic Reasoning (NMR), embedded in a deliberative architecture. The NMR process uses Default Logic to implement goal reasoning, managing partially observable or incomplete information, allowing the design of default behaviours completed by the handling of specific situations, in order to manage the current mission objective as well as safety rules. We illustrate our approach through an application of an underwater robot performing a marine biology mission.
Fichier principal
Vignette du fichier
paperIROS21v2.pdf (400.1 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

lirmm-03475252 , version 1 (11-02-2022)

Identifiants

Citer

José-Luis Vilchis Medina, Karen Godary-Dejean, Charles Lesire. Autonomous Decision-Making With Incomplete Information and Safety Rules Based on Non-Monotonic Reasoning. IEEE Robotics and Automation Letters, 2021, 6 (4), pp.8357-8362. ⟨10.1109/LRA.2021.3103048⟩. ⟨lirmm-03475252⟩
101 Consultations
111 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More