ADE (OG10)

Autonomous Decision Making in Very Long Traverses

Autonomous Decision Making in Very Long Traverses

  • Duration:

The overall objective of the project ADE (Autonomous DEcision making) is to develop a rover system suitable to increase data collection, perform autonomous long traverse surface exploration, guarantee fast reaction, mission reliability, and optimal exploitation of resources. Verification and test in a representative analogue terrain are part of the project.

The main objective is an autonomous long range navigation with high reliability. The ADE rover guidance receives a goal location and then plans and executes a safe and efficient route to this goal. It locally re-plans to visit new local goals, enabling the rover to seize scientific opportunities.

Furthermore, consistent data detection and avoidance of missing interesting data is of interest in ADE. Promising environmental features will be detected by an Opportunistic Science agent. ADE includes two instruments that will generate observation conflicts to be solved by the Autonomous Decision Making Module (ADAM).

Autonomous decision making capabilities in presence of goal conflicts are tackled with the ADE project. Key component of ADE is ADAM. It is based on the tight integration and update of robotic technologies including the outputs of the former EU projects OG1-OG4. ADAM will autonomously and safely modify the rover nominal plan in case it identifies interesting features or when environmental hazards are recognized. The modifications are conducted in compliance with system constraints, on-board resources and temporal restrictions.

With the demonstration in a representative environment, ADE will be tested incrementally with increasing complexity until a full representative analogue is reached.

The components ADAM as well as the ADE avionic system, represent a step ahead in technologies applicable to multiple scenarios. The ADE demonstrator represents a breakthrough with respect to the way rovers will explore unknown hostile environments, both in space and on Earth.


  • GMV Aerospace and Defence SA, Spain
  • Joanneum Research, Austria
  • Thales Alenia Space Italia SPA, Italy
  • Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Germany
  • Trasys International EEIG, Belgium
  • Magellium SAS, France
  • Airbus Defence and Space Ltd, Great Britan
  • University of Oxford, Great Britain
  • King's College London, Great Britain
  • Universite Grenoble Alpes, France
  • GMV Innovating Solutions Ltd, Great Britain
  • Universidad de Malaga, Spain
  • Universita Del Salento, Italy


European Union (EU)

GA 821988

European Union (EU)


Der Rover SherpaTT während einer 1km langen autonomen Erprobungsmission in Marokko, Ende 2018. Die Ergebnisse aus diesen Versuchen werden im Rahmen von ADE ausgebaut und vertieft.

Publications about the project

Jorge Ocón, Iulia Dragomir, Robert Marc, Vincent Bissonnette, Raphael Viards, Anne-Claire Berthet, Giulio Reina, Angelo Ugenti, Andrew Coles, Amanda Coles, Adam Green, Rhys Howard, Lars Kunze, Raúl Domínguez, Florian Cordes

In: Proceedings of the 72nd International Astronautical Congress. International Astronautical Congress (IAC-2021) located at 72nd International Astronautical Congress (IAC) October 25-29 Dubai, United Arab Emirates United Arab Emirates IAF 10/2021.

To the publication
J. Ocón, I. Dragomir, A. Coles, A. Green, L. Kunze, R. Marc, C. J. Perez, T. Germa, V. Bissonnette, G. Scalise, M. Foughali, K. Kapellos, R. Dominguez, G. Paar, G. Reina, A. Kisdi, Florian Cordes

In: 15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS '20). International Symposium on Systems, Artificial Intelligence, Robotics, and Automation in Space (i-SAIRAS-2020) October 19-23 Online-Conference CA United States n.n. 10/2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz