Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Beetz, Michael (1961-....)
Titre(s) : Plan-based control of robotic agents [Texte électronique] : improving the capabilities of autonomous robots / Michael Beetz
Publication : Berlin ; New York : Springer, cop. 2002
Description matérielle : 1 online resource (xi, 191 pages)
Collection : Lecture notes in computer science ; 2554. Lecture notes in artificial intelligence
Note(s) : Includes bibliographical references (pages 181-191)
English.
Robotic agents, such as autonomous office couriers or robot tourguides, must be both
reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit
opportunities, quickly plan their course of action, and, if necessary, revise their
intended activities. This book makes three major contributions to improving the capabilities
of robotic agents: - first, a plan representation method is introduced which allows
for specifying flexible and reliable behavior - second, probabilistic hybrid action
models are presented as a realistic causal model for predicting the behavior generated
by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable
of learning structured symbolic navigation plans is described in detail
Sujet(s) : Informatique
Intelligence artificielle
Réseaux d'ordinateurs
Robots autonomes
Agents intelligents (logiciels)
Commande intelligente
Robots -- Systèmes de commande
Indice(s) Dewey :
629.892 (23e éd.) = Robots
Identifiants, prix et caractéristiques : ISBN 9783540363811
Identifiant de la notice : ark:/12148/cb44687481b
Notice n° :
FRBNF44687481
(notice reprise d'un réservoir extérieur)
Table des matières : Overview of the control system ; Plan representation for robotic agents ; Probabilistic
hybrid action models ; Learning structured reactive navigation plans ; Plan-based
robotic agents.
