EUROPEAN ROBOTIC GOAL-ORIENTED AUTONOMOUS CONTROLLER

Project Information

ERGO

Grant agreement ID: 730086

DOI 10.3030/730086

Project closed

EC signature date 21 October 2016

Start date 1 November 2016

End date 31 January 2019

Funded under

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Total cost € 3 774 610,00

EU contribution € 3 236 950,00

Coordinated by

GMV AEROSPACE AND DEFENCE SA
Spain

Deliverables

Documents, reports (12)

Evaluation of Test Results

Evaluation of the test results against the system requirements

Final Report

This document shortly reports the achievements of the OG1 activities, the lessons learned and main recommendations for the way forward

System Requirements Document

Requirements for the Autonomy Framework produced by the Operational Grant, to be used for the generation of the system.

ERGO User Manual

Intended to give assistance to the users.

Orbital Test Report

Report of the execution of the orbital track demonstrator

Planetary Exploration Test Report

Report of the execution of the planetary exploration demonstrator

Interface Control Document (v2)

Describes the interfaces between ERGO subsystems and with the rest of OGs

Technology Review Document

Review of the state-of-the-art, including the individual aspects of the Autonomy Framework, including the benefits and drawbacks of different approaches to the system architecture

Dissemination Plan

This document includes the description of the dissemination activities planned within OG2.

Preliminary Design Document

Design of the architecture and its individual components including high level UML diagrams. Identify current and beyond state-of-the-art technologies. Dissemination level: CO-1

Exploitation Plan

This document describes the foreseen activities to promote and extend the use of ERGO within the robotics community.

Interface Control Document (Preliminary)

Preliminary Interface Control Document

Other (1)

Publications

Any publication to be produced by the project.

Publications

Conference proceedings (13)

Situated Planning for Execution Under Temporal Constraints

Author(s): Michael Cashmore, Andrew Coles, Bence Cserna, Erez Karpas, Daniele Magazzeni and Wheeler Ruml
Published in: AAAI Spring Symposium Series 2018, Issue Annual, 2018
Publisher: AAAI

Checking Deadlock-Freedom of Parametric Component-Based Systems

Author(s): Marius Bozga, Radu Iosif and Joseph Sifakis
Published in: Proceedings TACAS 2019, Issue Annual, 2019, Page(s) N/A
Publisher: Springer

Autonomous Multi-Mode Rover Navigation for Long-Range Planetary Exploration Using Orbital and Locally Perceived Data

Author(s): Róbert Marc, Piotr Weclewski, Daisy Lachat
Published in: proceedings of the 69th International Astronautical Congress (IAC),, Issue Annual, 2018, Page(s) N/A
Publisher: IAF

Temporal Planning While the Clock Ticks

Author(s): Michael Cashmore, Andrew Coles, Bence Cserna, Erez Karpas, Daniele Magazzeni and Wheeler Ruml
Published in: Proceedings of ICAPS, 2018, Issue Annual, 2018
Publisher: AAAI Press

In-Orbit Autonomous assembly of large structures and habitats for planetary explorations using planning and scheduling techniques

Author(s): Jorge Ocón, Juan Manuel Delfa , De la Rosa Turbides, T., García-Olaya, A. , Escudero Martín, Y.
Published in: Proceedings of 68th International Astronautical Congress (IAC), Adelaide, Australia, 25-29 September 2017., Issue Annual, 2017, Page(s) None, ISBN 9781-510855373
Publisher: IAF

Efficiently Reasoning with Interval Constraints in Forward Search Planning

Author(s): Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Juan Manuel Delfa, Tomas de la Rosa, Yolanda E Martin, Angel Garcia Olaya
Published in: Proceedings for the AAAI 2019, Issue Annual, 2019, Page(s) N/A
Publisher: AAAI

Allocating Search Effort when Actions Expire

Author(s): Shahaf Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Eyal S Shimony
Published in: Proceedings for AAAI 2019, Issue Annual, 2019, Page(s) N/A
Publisher: AAAI

A Temporal Relaxed Planning Graph Heuristic for Planning With Envelopes

Author(s): Amanda Coles, Andrew Coles
Published in: Proceedings of the 27th International Conference on Automated Planning and Scheduling, ICAPS 2017, Issue Annual, 2017, Page(s) 47-55, ISBN 9781-577357896
Publisher: AAAI Press

Designing Systems with Detection and Reconfiguration Capabilities: A Formal Approach

Author(s): Iulia Dragomir, Simon Iosti, Marius Bozga, and Saddek Bensalem
Published in: proceedings of ISOLA 2018, Issue Bi-annual, 2018
Publisher: Spinger-Switzerland
DOI: 10.1007/978-3-030-03424-5_11

USING THE ERGO FRAMEWORK FOR SPACE ROBOTICS IN A PLANETARY AND AN ORBITAL SCENARIO

Author(s): J. Ocón, K. Buckley, F.J. Colmenero, S. Bensalem, I. Dragomir, S. Karachalios, M. Woods, F. Pommerening, T.Keller
Published in: Isairas Conference, Issue Biannual, 2018, Page(s) N/A
Publisher: ESA

The ERGO framework and its use in planetary/orbital scenarios

Author(s): J. Ocón, F.J. Colmeneroa, J. Estremera , K. Buckley , M. Alonso, E. Heredia, J.Garcia, A. I. Coles, A. J. Coles, M. Martínez , E. Savaş , F.Pommerening, T.Keller , S. Karachalios, M. Woods, I. Dragomir, S. Bensalem, P. Dissaux, A Schach, R.Marc, P. Weclewski
Published in: proceedings for the 69th International Astronautical Congress (IAC), Bremen, Germany, 1-5 October 2018. Copyright ©2018 by the International Astronautical Federation (IAF)., Issue Annual, 2018, Page(s) N/A
Publisher: IAF

ERGO: A Framework for the Development of Autonomous Robots

Author(s): Jorge Ocón, Juan Manuel Delfa, Alberto Medina, Daisy Lachat, Robert Marc, Mark Woods, Iain Wallace, Andrew Coles, Amanda Coles, Derek Long, Thomas Keller, Malte Helmert, Saddek Bensalem
Published in: Proceedings for the 14th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA), Issue Biannual, 2017, Page(s) N/A
Publisher: ESA

Efficient Temporal Planning using Metastates

Author(s): Amanda Coles, Andrew Coles, J. Christopher Beck
Published in: Proceedings of the AAAI Conference, 2019, Issue Annual, 2019, Page(s) N/A
Publisher: AAAI