Authors:
Sebastian Smolorz
and
Bernardo Wagner
Affiliation:
Leibniz Universität Hannover, Germany
Keyword(s):
Autonomic Computing, Organic Computing, Self-organisation, Self-X, Real-time, Optimisation, Genetic algorithm, Task distribution, Networked robotic system.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Distributed Control Systems
;
Evolutionary Computation and Control
;
Evolutionary Computing
;
Genetic Algorithms
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Mobile Robots and Autonomous Systems
;
Optimization Algorithms
;
Robotics and Automation
;
Soft Computing
Abstract:
For several years, mobile multi-robot systems are a main focus in robotic research. The possibilities to carry out demanding algorithms in a networked robotic system grow as computational resources used by those robots become more and more powerful and inexpensive. One major question is how to distribute the necessary algorithms and tasks to the available computers so that all requirements are met and furthermore, an optimal distribution pattern is achieved. This paper presents a new approach for generating an optimal task distribution pattern without human intervention based on the concepts of Autonomic Computing and Computational Intelligence. Although still in its conceptual state, we describe why our approach seems to be promising for this particular problem. Additionally, further challenges and research demand are outlined.