InFuse

Credit:
PR

In the framework of InFuse project, a 6-organizations consortium developed solutions for data fusion techniques in space context, in structured and unstructured environment, in on-orbit servicing scenarios and planetary exploration scenarios. This was a part of larger effort by EU and EC, a part of Horizon 2020 initiative, and a part of Strategic Resource Cluster called PerAspera.

  
Runtime
2016-11-01 until 2019-01-31
Project Partners
  • Space Applications
  • Deutsches Forschungszentrum für Künstliche Intelligenz
  • Magellium
  • University of Strathclyde
  • CNRS-LAAS
Website
Fields of Application
  • Planetary exploration, field robotics
  • On-orbit servicing
Funding
European Horizon 2020 (grant #730014)

Projectdetails

In the framework of InFuse project, a 6-organizations consortium developed solutions for data fusion techniques in space context, in structured and unstructured environment, in on-orbit servicing scenarios and planetary exploration scenarios. This was a part of larger effort by EU and EC, a part of Horizon 2020 initiative, and a part of Strategic Resource Cluster called PerAspera. Over the duration of 27 months, we performed sensor study, did a research on possible ways of data fusion, implemented a joint solution for sensor data processing and fusion, and successfully demonstrated this in two test campaigns, one for On-orbit Servicing domain in DLR-RM OOS-SIM lab and one for Planetary exploration domain in DLR-RM PEL lab and during a field test in Morocco in 2018. InFuse was an awarded Operational Grant 03, a part of larger scheme of operational grants which were being co-developed in parallel. Other OGs were:

  • OG1 European Space Robot Control Operating System: ESROCOS,
  • OG2 European Robotic Goal-Oriented Autonomous Controller: ERGO,
  • OG4 Integrated 3d Sensors: I3DS,
  • OG5 Standard Interface for Robotic Manipulation of Payloads in Future Space Missions: SIROM,
  • OG6 Facilities for testing orbital and surface robotics building blocks: FACILITATORS.

Contact

Prof. Dr. rer. nat. habil. Rudolph Triebel

Head of Department
Institute of Robotics and Mechatronics
Perception and Cognition
Münchener Straße 20, 82234 Oberpfaffenhofen-Weßling