Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/3162
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Integrating a Potential Field Based Pilot into a Multiagent Navigation Architecture for Autonomous Robots |
Autor: | Mohan, Manikanth; Busquets, Didac; López de Mántaras, Ramón CSIC ORCID ; Sierra, Carles CSIC ORCID | Palabras clave: | Artificial intelligence Potential fields Obstacle-Avoidance Pilot Autonomous robot navigation Multiagent systems Bidding |
Fecha de publicación: | 2004 | Citación: | 1st. International Conference on Informatics in Control, Automation and Robotics, Setubal, Portugal, 25-28, August, 2004, p.p.: 287-290. | Resumen: | In this paper we present a new Pilot for a Multi-Agent based control architecture for Autonomous Robots. This Pilot is based on the use of virtual potential fields and is easy to implement yet effective. The Pilot functions as an autonomous agent in a complex Multi-Agent Architecture for the control and navigation of an autonomous robot. In this architecture, various agents are responsible for different tasks, and they might have to compete and cooperate for the successful completion of a particular navigation mission. The interaction between different agents is achieved through the use of a bidding mechanism. In this respect, we also present a way to define the bid for the new pilot, so that the pilot can be integrated easily into the Multi-Agent Architecture. The pilot has been tested both on simulations and navigation experiments involving a real robot and it has given successful and encouraging results. We also deal with some problems of this pilot and ways to get around them. | URI: | http://hdl.handle.net/10261/3162 |
Aparece en las colecciones: | (IIIA) Comunicaciones congresos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Pot_Field.pdf | 227,77 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
316
checked on 18-mar-2024
Download(s)
262
checked on 18-mar-2024
Google ScholarTM
Check
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.