Flexible and Adaptive Problem-Solving in Robot Navigation
Identifieur interne : 00CB94 ( Main/Merge ); précédent : 00CB93; suivant : 00CB95Flexible and Adaptive Problem-Solving in Robot Navigation
Auteurs : N. Glaser ; Jean-Paul Haton [France]Source :
English descriptors
- KwdEn :
Abstract
This paper presents an approach to introduce flexibility in the problem-solving process of an agent at run-time. Our approach is based on the usage of flexible knowledge structures at the conceptual level, e.g. tasks, problem hierarchies and problem-solving methods. A problem-solving method represents the knowledge on how to solve a task but is not previously related to the task to be solved. Each method is characterised by generic selection criteria which are used during problem-solving to find the appropriate method for a given task. An agent is able to memorise how it has solved a task and may update or refine the selection criteria. We claim to respond with this approach to the dynamics of the environment and to provide the necessary means for the evolution of a system. An example illustrates the application of this technique to select navigation methods for mobile robots.
Links toward previous steps (curation, corpus...)
- to stream Crin, to step Corpus: 001928
- to stream Crin, to step Curation: 001928
- to stream Crin, to step Checkpoint: 002B49
Links to Exploration step
CRIN:glaser95bLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="495">Flexible and Adaptive Problem-Solving in Robot Navigation</title></titleStmt><publicationStmt><idno type="RBID">CRIN:glaser95b</idno><date when="1995" year="1995">1995</date><idno type="wicri:Area/Crin/Corpus">001928</idno><idno type="wicri:Area/Crin/Curation">001928</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">001928</idno><idno type="wicri:Area/Crin/Checkpoint">002B49</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">002B49</idno><idno type="wicri:Area/Main/Merge">00CB94</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Flexible and Adaptive Problem-Solving in Robot Navigation</title><author><name sortKey="Glaser, N" sort="Glaser, N" uniqKey="Glaser N" first="N." last="Glaser">N. Glaser</name></author><author><name sortKey="Haton, J P" sort="Haton, J P" uniqKey="Haton J" first="J.-P." last="Haton">Jean-Paul Haton</name><affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="region" nuts="2">Lorraine (région)</region></placeName><orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>adaptivity</term><term>flexible problem-solving</term><term>multi-agent</term><term>reactivity</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="2351">This paper presents an approach to introduce flexibility in the problem-solving process of an agent at run-time. Our approach is based on the usage of flexible knowledge structures at the conceptual level, e.g. tasks, problem hierarchies and problem-solving methods. A problem-solving method represents the knowledge on how to solve a task but is not previously related to the task to be solved. Each method is characterised by generic selection criteria which are used during problem-solving to find the appropriate method for a given task. An agent is able to memorise how it has solved a task and may update or refine the selection criteria. We claim to respond with this approach to the dynamics of the environment and to provide the necessary means for the evolution of a system. An example illustrates the application of this technique to select navigation methods for mobile robots.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 00CB94 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 00CB94 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Main
|étape= Merge
|type= RBID
|clé= CRIN:glaser95b
|texte= Flexible and Adaptive Problem-Solving in Robot Navigation
}}
| This area was generated with Dilib version V0.6.33. |  |