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Cooperation of multiple space assets is an increasingly interesting topic for the space agencies. This book reviews the literature related to multi-robot research with a focus on space applications. It examines de nitions in the field of multi-robot systems and gives an overview of space applications with multiple assets cooperating. It then presents two algorithmic implementations, a simple vector-based and an AI (machine learning) approach, of multi-robot formation control for the area coverage problem. It uses a space exploration scenario, with a marsupial robot society, for tasks like…mehr

Produktbeschreibung
Cooperation of multiple space assets is an increasingly interesting topic for the space agencies. This book reviews the literature related to multi-robot research with a focus on space applications. It examines de nitions in the field of multi-robot systems and gives an overview of space applications with multiple assets cooperating. It then presents two algorithmic implementations, a simple vector-based and an AI (machine learning) approach, of multi-robot formation control for the area coverage problem. It uses a space exploration scenario, with a marsupial robot society, for tasks like mapping, habitat construction, etc. The solutions are though applicable to a wider range of applications, since area coverage is seen as one of the canonical problems in multi-robot application.
Autorenporträt
is a researcher in Robotics and Artificial Intelligence (AI). He has a background in Computer Science and graduated from the "Joint European Master in Space Science and Technology" programme in the field of Space Robotics and Automation. He has been working at various universities and also for a year at the European Space Agency.