Applying knowledge representation in future space missions to fill missing information gaps in applications
In Advanced Space Technologies in Robotics and Automation, (ASTRA-2022), 1.6.-2.6.2022, Noordwijk, ESA, 2022. European Space Agency.
Knowledge about all phases of the life cycles of robotic systems in space is essential. Ontology as a method is a suitable way to collect and represent knowledge. This paper presents two different examples of ontologies with development and application perspectives, namely active debris removal in orbital robotics and collaborated astronaut-robot task on lunar site as future mission scenarios in space. Furthermore , we give an overview of the practical implementation to address the problem of static or dynamic knowledge in realistic application scenarios, which in our experience plays the key role in determining the added value of using ontology.
active debris removal,framework,knowledge representation,lunar robotics,man-machine-interaction,ontology,orbital robotics,own,task