2016
Decentralized multi-agent exploration with online-learning of Gaussian processes
Alberto Viseras Ruiz, Thomas Wiedemann, Christoph Manss, Lukas Magel, Joachim Müller, Dmitriy Shutin +1
ICRA 2016
Exploration is a crucial problem in safety of life applications, such as search and rescue missions. Gaussian processes constitute an interesting underlying data model that leverages the spatial correlations of the process to be explored to reduce the required sampling of data. Furthermore, multi-ag