Article (Scientific journals)
REALMS: Resilient exploration and lunar mapping system.
VAN DER MEER, Dave; CHOVET, Loick; BERA, Abhishek et al.
2023In Frontiers in Robotics and AI, 10, p. 1127496
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Keywords :
VSLAM; delay invariant; exploration; lunar; mapping; multi-master; resilience; Computer Science Applications; Artificial Intelligence
Abstract :
[en] Space resource utilisation is opening a new space era. The scientific proof of the presence of water ice on the south pole of the Moon, the recent advances in oxygen extraction from lunar regolith, and its use as a material to build shelters are positioning the Moon, again, at the centre of important space programs. These worldwide programs, led by ARTEMIS, expect robotics to be the disrupting technology enabling humankind's next giant leap. However, Moon robots require a high level of autonomy to perform lunar exploration tasks more efficiently without being constantly controlled from Earth. Furthermore, having more than one robotic system will increase the resilience and robustness of the global system, improving its success rate, as well as providing additional redundancy. This paper introduces the Resilient Exploration and Lunar Mapping System, developed with a scalable architecture for semi-autonomous lunar mapping. It leverages Visual Simultaneous Localization and Mapping techniques on multiple rovers to map large lunar environments. Several resilience mechanisms are implemented, such as two-agent redundancy, delay invariant communications, a multi-master architecture different control modes. This study presents the experimental results of REALMS with two robots and its potential to be scaled to a larger number of robots, increasing the map coverage and system redundancy. The system's performance is verified and validated in a lunar analogue facility, and a larger lunar environment during the European Space Agency (ESA)-European Space Resources Innovation Centre Space Resources Challenge. The results of the different experiments show the efficiency of REALMS and the benefits of using semi-autonomous systems.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SpaceR – Space Robotics
Disciplines :
Computer science
Author, co-author :
VAN DER MEER, Dave  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
CHOVET, Loick ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
BERA, Abhishek ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
RICHARD, Antoine ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
Sánchez Cuevas, Pedro Jesus;  Advanced Centre for Aerospace Technologies (CATEC), Seville, Spain
Sánchez-Ibáñez, J R;  Guidance Navigation and Control Department, Airbus Defence and Space Ltd., Stevenage, United Kingdom
OLIVARES MENDEZ, Miguel Angel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
External co-authors :
yes
Language :
English
Title :
REALMS: Resilient exploration and lunar mapping system.
Publication date :
30 March 2023
Journal title :
Frontiers in Robotics and AI
eISSN :
2296-9144
Publisher :
Frontiers Media S.A., Switzerland
Special issue title :
Multi-Robot Systems for Space Applications
Volume :
10
Pages :
1127496
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Fonds National de la Recherche Luxembourg
European Space Agency
Funding number :
14783405; 17025341; 4000137334/22/NL/AT
Funding text :
This work was supported by the Luxembourg National Research Fund (FNR)—FiReSpARX Project, ref. 14783405 and LUNAR-SLAM project, ref. 17025341. The ESA-ESRIC Space Resources Exploration Challenge also supported this work, Contract No. 4000137334/22/NL/AT.
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