Result: Multi-objective decision-theoretic path planning
Title:
Multi-objective decision-theoretic path planning
Authors:
Source:
2004 IEEE International Conference on Robotics and Automation (April 26-May 1, 2004, Hilton New Orleans Riverside, New Orleans, LA, USA). :2814-2819
Publisher Information:
Piscataway NJ: IEEE, 2004.
Publication Year:
2004
Physical Description:
print, 10 ref 5
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Automatique théorique. Systèmes, Control theory. Systems, Décision Markov, Markov decision, Decisión Markov, Minimisation, Minimization, Minimización, Optimisation, Optimization, Optimización, Planification trajectoire, Path planning, Politique optimale, Optimal policy, Política óptima, Processus Markov, Markov process, Proceso Markov, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Préférence, Preference, Preferencia, Récompense, Reward, Recompensa, Théorie décision, Decision theory, Teoría decisión, Trajectoire optimale, Optimal trajectory, Trayectoria óptima
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
GREYC - Université de Caen Bd Maréchal Juin, BP 5186, 14032 Caen, France
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17809172
Database:
PASCAL Archive
Further Information
In this paper, we study the problem of optimizing multi-objective decision-theoretic path planning. We transform this problem in a Markov Decision Process with a multidimensional value function. We also show that dealing with resource-bounded path planning consists of considering a complementary objective that is the minimization of resource consumption. We describe techniques that allow to derive an optimal policy where it is hard to express the expected utilities, rewards and values with a numerical measure. Firstly, we present approaches based on egalitarian social welfare techniques and secondly we examine different approaches based on preferences and we define notions of optimality with preferred solutions.