Cooperative behavior realization is an important aspect of Multi-Agent Systems, and it has been widely addressed by the robotics community. However, the interaction among multiple robots and a human operator still requires a non-negligible effort to be effective. The availability of modern input devices can ease the behavior composition process, allowing a user to train Multi-Agent Systems by using alternative methods. In this paper, we introduce a novel approach to integrate Tangible User Interfaces within a reconfigurable software architecture, for cooperative Multi-Robot Systems. To address a real test case, we implemented a strategy training system for a humanoid RoboCup soccer team. Such a system allows a human coach to train several robotic players by using multiple input interfaces, directly onto the application field. © 2011 Springer-Verlag.
CITATION STYLE
Randelli, G., Marchetti, L., Marino, F. A., & Iocchi, L. (2011). Multi-agent behavior composition through adaptable software architectures and tangible interfaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6556 LNAI, pp. 278–290). https://doi.org/10.1007/978-3-642-20217-9_24
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