Toward Self-Aware Robots - Université Toulouse 1 Capitole Accéder directement au contenu
Article Dans Une Revue Frontiers in Robotics and AI Année : 2018

Toward Self-Aware Robots

Rachid Alami
Aurélie Clodic
Sandra Devin
  • Fonction : Auteur
  • PersonId : 1290342
  • IdRef : 226650936

Résumé

Despite major progress in Robotics and AI, robots are still basically " zombies " repeatedly achieving actions and tasks without understanding what they are doing. Deep-Learning AI programs classify tremendous amounts of data without grasping the meaning of their inputs or outputs. We still lack a genuine theory of the underlying principles and methods that would enable robots to understand their environment, to be cognizant of what they do, to take appropriate and timely initiatives, to learn from their own experience and to show that they know that they have learned and how. The rationale of this paper is that the understanding of its environment by an agent (the agent itself and its effects on the environment included) requires its self-awareness, which actually is itself emerging as a result of this understanding and the distinction that the agent is capable to make between its own mind-body and its environment. The paper develops along five issues: agent perception and interaction with the environment; learning actions; agent interaction with other agents—specifically humans; decision-making; and the cognitive architecture integrating these capacities.
Fichier principal
Vignette du fichier
ChatilaEtAl18_Final.pdf (4.51 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01856931 , version 1 (13-08-2018)

Identifiants

Citer

Raja Chatila, Erwan Renaudo, Mihai Andries, Omar Ricardo Chavez-Garcia, Pierre Luce-Vayrac, et al.. Toward Self-Aware Robots. Frontiers in Robotics and AI, 2018, 5, pp.88. ⟨10.3389/frobt.2018.00088⟩. ⟨hal-01856931⟩
618 Consultations
647 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More