InFuse : a comprehensive framework for data fusion in space robotics

Govinderaj, Shashank and Gancet, Jeremi and Post, Mark and Dominguez, Raul and Souvannavong, Fabrice and Lacroix, Simon and Smisek, Michal and Hidalgo-Carrio, Javier and Wehbe, Bilal and Fabisch, Alexander and De Maio, Andrea and Oumer, Nassir and Bissonnette, Vincent and Marton, Zoltan-Csaba and Kottath, Sandeep and Nissler, Christian and Yan, Xiu and Triebel, Rudolph and Nuzzolo, Francesco (2017) InFuse : a comprehensive framework for data fusion in space robotics. In: 14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, 2017-06-20 - 2017-06-22.

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    Abstract

    Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration, science and commercial purposes. This includes navigation for planetary and orbital robotics, scientific data gathering, and on-orbit spacecraft servicing applications. InFuse aims to develop a comprehensive open-source data fusion toolset to combine and interpret sensory data from multiple robotic sensors, referred as a Common Data Fusion Framework (CDFF).