towards a real-world scenario for investigating organic computing principles in heterogeneous societies of robots
In this paper we introduce an infrastructure for investigating Organic Computing principles such as self-optimization and self-organization in real-world scenarios based on a heterogeneous society of robots. This infrastructure, the R3PB-Workbench (Remote Real Robots at the University of Paderborn), provides a controlled environment for conducting real-world multi robot experiments, while relieving the developer from common problems like getting a global view of the entire environment and self-localization within this environment. In addition, it provides a communication layer that hides the heterogeneity of the controlled robot types and also facilitates access to each robot's subjective view. Currently we provide three types of mobile robots with different size and capabilities. Since the workbench is easily customizable, it supports the integration of additional types of robots. Hence, the degree of heterogeneity of the robot group conducting the experiments in the scope of our real-world scenario can be modified as needed. Furthermore, we elaborated a multi-robot game as an illustrative real-world scenario, which on the one hand allows for sophisticated scientific investigations and on the other hand is also appealing for an audience, even with little technical background.
organic computing imitation reinforcement learning heterogeneous groups of robots telerobotic workbench real-world application