Record #203484 - GSI Repository

ESROCOS

European Space Robot Control Operating System

Coordinator	UNIVERSITE GRENOBLE ALPES ; Deutsches Zentrum für Luft- und Raumfahrt ; KU Leuven ; GMV AEROSPACE AND DEFENCE SA ; GMVIS SKYSOFT SA ; TEKNOLOGIAN TUTKIMUSKESKUS VTT ; INTERMODALICS BVBA ; INSTITUT SUPERIEUR DE L'AERONAUTIQUE ET DE L'ESPACE ; Grenoble Alpes University ; AIRBUS DEFENCE AND SPACE LTD ; German Research Centre for Artificial Intelligence
Grant period	2016-11-01 - 2019-01-31
Funding body	European Union
Call number	H2020-COMPET-2016
Grant number	730080
Identifier	G:(EU-Grant)730080

Note: The ESROCOS activity is devoted to the design of a Robot Control Operating Software (RCOS) that can provide adequate features and performance with space-grade Reliability, Availability, Maintainability and Safety (RAMS) properties. The goal of the ESROCOS proposal is to provide an open source framework which can assist in the generation of flight software for space robots. By providing an open standard which can be used by research labs and industry, it is expected that the elevation of TRL levels can be made more efficient, and vendor lock-in through proprietary environments can be reduced. Current state-of-the-art robotic frameworks are already addressing some of these key aspects, but mostly fail to deliver the degree of quality expected in the space environment. Terrestrial RCOS developed by industrial robot companies (e.g. VxWorks, PikeOS) are not usable for space robotics because their Intellectual Property Rights (IPR) enforce the vendor’s dependency on space development. Other open-source frameworks do not have sufficient RAMS properties for its use in space missions. The ESROCOS objectives are to: 1. Develop a Space-oriented RCOS including space-grade RAMS attributes, formal verification and qualification of industrial drivers. 2. Integrate advanced modelling technologies, separating the model from the platform 3. Focus on the space robotics community, with requirements coming from actors leading robotics missions 4. Allow integration of complex robotics applications by including the Time and Space partitioning approach 5. Avoid vendor-lock in situations by delivering an open-source solution 6. Leverage on existing assets, such as already existing frameworks properly extended, mature toolsets and libraries) 7. Ease the development of robotics systems by providing a solution interoperable with other robotics frameworks (e.g. Rock/ROS third-party libraries and visualizers/simulator) 8. Cross-pollinate with non-space solutions and applications

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Record created 2017-06-14, last modified 2023-02-08

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