Applying robotic frameworks in a simulated multi-agent contest

AutorChristopher-Eyk Hrabia, Patrick Marvin Lehmann, Nabil Battjbuer, Axel Heßler, Sahin Albayrak
QuelleAnnals of Mathematics and Artificial Intelligence 
LinksBibTeX   |   Uni-Bibliothek 

In the Multi-Agent Programming Contest 2017 the TUBDAI team of the Technische Universität Berlin is using the complex multi-agent scenario to evaluate the application of two frameworks from the field (multi-)robot systems. In particular the task-level decision-making and planning framework ROS Hybrid Behaviour Planner (RHBP) is used to implement the execution and decision-making for single agents. The RHBP framework builds on top of the framework Robot Operating System (ROS) that is used to implement the communication and scenario specific coordination strategy of the agents. The united team for the official contest is formed by volunteering students from a project course and their supervisors.