[en] Recent advancements in in-situ resource utilization (ISRU) exploration lead to a new space economy trending towards coopetitive multi-robot systems (MRS). This trend highlights the need for a robust, transparent, and universally accessible cross-organization platform for coordinating these complex systems. To fill this gap, we present in this paper a novel approach to address the challenge of globally optimising distributed mapping tasks in coopetitive heterogeneous MRS within ISRU lunar scenarios. Thereby, we propose a cost function that combines the perspectives of both robotic operational metrics and economic principles to elevate ISRU global efficiency. Our approach leverages blockchain-based auctioning mechanisms to overcome the computational complexity of global coordination more efficiently. Our focus is on improving distributed mapping and utilizing blockchain technology to create a trustworthy digital platform for auction-based coordination. This non-proprietary and non-discriminatory platform aims to optimize costs in the context of ISRU. We demonstrate that our system outperforms traditional random task allocation methods by 17.5% on average. We validate our scenario in a simulated lunar environment, supporting robots with competing interests yet collaborating for mapping tasks.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations NCER-FT - FinTech National Centre of Excellence in Research Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SpaceR – Space Robotics
Disciplines :
Aerospace & aeronautics engineering Management information systems Computer science Electrical & electronics engineering Engineering, computing & technology: Multidisciplinary, general & others Business & economic sciences: Multidisciplinary, general & others Strategy & innovation Space science, astronomy & astrophysics Production, distribution & supply chain management
Author, co-author :
CHOVET, Loick ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics ; Space Robotics (SpaceR)
LIMA BAIMA, Renan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
BERA, Abhishek ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics ; Space Robotics (SpaceR)
OLIVARES MENDEZ, Miguel Angel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
FRIDGEN, Gilbert ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX ; Digital Financial Services and Cross-Organisational Digital Transformations (FINATRAX)
External co-authors :
no
Language :
English
Title :
Coopetitive Lunar Mapping: A distributed non-proprietary Multi-Robot Coordination using Blockchain-based Cost Optimisation
Publication date :
28 August 2024
Event name :
CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING
Event organizer :
IEEE Robotics and Automation Society
Event place :
Bari, Italy
Event date :
28/08/2024 <-> 01/09/2024
Event number :
20
Audience :
International
Main work title :
Proceedings of the 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Main work alternative title :
[en] 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Publisher :
IEEE, New York City, United States - New York
ISBN/EAN :
979-8-3503-5851-3
Collection ISSN :
2161-8089
Pages :
1276-1282
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Development Goals :
9. Industry, innovation and infrastructure 7. Affordable and clean energy 8. Decent work and economic growth 10. Reduced inequalities 11. Sustainable cities and communities 12. Responsible consumption and production 15. Life on land 16. Peace, justice and strong institutions 17. Partnerships for the goals
FNR - Fonds National de la Recherche FNR - Luxembourg National Research Fund
Funding number :
14783405; 16326754
Funding text :
This research was funded by the Luxembourg National Research Fund (FNR) in the FiReSpARX Project, ref. 14783405, and by PayPal, PEARL grant reference 13342933/ Gilbert Fridgen.
Commentary :
For the purpose of open access and in fulfilment of the obligations arising from the grant agreement, the author has applied a Creative Commons Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising from this submission. To exclusively improve the readability of the content and fix grammatical mistakes, we have utilized AI tools, including ChatGPT and Grammarly. After using these tools, the authors reviewed and edited the content as needed and takes full responsibility for the publication’s content.
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