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Título del libro: 2010 Ieee World Congress On Computational Intelligence, Wcci 2010 - 2010 Ieee Congress On Evolutionary Computation, Cec 2010
Título del capítulo: Artificial immune system inspired behavior coordination for autonomous mobile robot trajectory generation

Autores UNAM:
GERARDO ACOSTA GARCIA;
Autores externos:

Idioma:
Inglés
Año de publicación:
2010
Palabras clave:

Artificial Immune System; Autonomous Mobile Robot; Autonomous robot; Behavior coordination; Behavior-based control; Emergent behaviors; Khepera; Laboratory experiments; Micro robots; Multiple objectives; On-line generation; Real environments; Research areas; Simple behaviors; Artificial intelligence; Computer simulation; Coordination reactions; Immunology; Intelligent robots; Robotics; Behavioral research


Resumen:

For the construction of an autonomous robot moving in a real environment, it is necessary to count with a system for the on-line generation of trajectories. An outstanding research area to approach this issue is the evolutive robotics, that resorts to the behavior based control. In this kind of control, a complex robot's behavior can be obtained by the coordination of more simple behaviors. This emergent behavior may has multiple objectives. The present work proposes to make a brief comparison among different behavior coordination approaches. Particularly, the coordination inspired in an artificial immune system paradigm showed promising experimental results. These results were obtained over a case study in computer simulation as well as in laboratory experiments with a Khepera II microrobot. © 2010 IEEE.


Entidades citadas de la UNAM: