ESA Open Invitation to Tender AO10647
Open Date: 02/03/2021
Closing Date: 16/04/2021 13:00:00

Status: ISSUED
Reference Nr.: 21.112.01
Prog. Ref.: Technology Developme
Budget Ref.: E/0901-01 – Technology Developme
Special Prov.: AT+BE+CH+CZ+DE+DK+EE+ES+FI+FR+GB+GR+HU+IE+IT+LU+NL+NO+PL+PT+RO+SE
Tender Type: C
Price Range: 200-500 KEURO
Products: Ground Segment / Mission Operations / Other
Technology Domains: Mission Operation and Ground Data Systems / Ground Data Systems / Mission Control System, Automation, Mission Planning, Simulators and Station M&C and Data Centre Architecture and Technologies
Establishment: ESOC
Directorate: Directorate of Operations
Department: Ground Systems Eng. & Innovation Dept.
Division: Mission Ops. Data Systems Division
Contract Officer: Roettger, Sabine
Industrial Policy Measure: C2 – Activities in open competition, significant partecipat…
Last Update Date: 02/03/2021
Update Reason: Tender issue

The Digital Twin concept is getting more and more trA digital twin merges a data model with AI (Artificial Intelligence) technologyand the existing expertise. It hence allows for an unsurpassed level of monitoring via real-time and continuous assessment and evaluation,precise diagnostics, maintenance prediction, downtime prevention and maximised equipment effectiveness action, and is envisaged notably for space missions or for spacecraft. The requirements for a robotic digital twin are nevertheless very different due to the differentset of capabilities a robotic asset has compared to a spacecraft.Given the increasing number of future missions involving robotic assets (rovers, arms, drillers etc.), the aim of this activity is to develop a robotic digital twin. It will consistin a data model (hierarchy of systems and robotic asset components which describe the structure), along with a variety of data sources (real-time data, historical data, specific expertise and best practices), which will be the input of AI algorithms in order to create a software prototype of a robotic digital twin. AI algorithms will focus on Machine Learning methods.A Model Based Systems Engineering (MBSE) approach is seen as complementary to boost the use of such tool.Procurement Policy: C(2) = A relevant participation (in terms of quality and quantity) of non-primes (incl. SMEs) is required. For additional information please go to EMITS news “Industrial Policy measures for non-primes, SMEs and RD entities in ESA programmes”.