Abstract
This article describes a SpacePatrol project which goal was to prepare a robotic solution for the ESA-ESRIC Space Resources Challenge - Development of Prospecting Technologies - the first competition of this type. The aim of the challenge was to present a system that would allow to search and identify natural resources in a moon analogue terrain with conditions similar to real ones. The article presents our approach to each phase of the challenge with description of introduced solutions. The idea is to present the SpacePatrol system in its final stage with detailed information about concept of operation, used sensors and technologies, followed by lessons learned and future plans.
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References
Cao, C., Zhu, H., Choset, H., Zhang, J.: Tare: a hierarchical framework for efficiently exploring complex 3d environments (2021)
Dang, T., Tranzatto, M., Khattak, S., Mascarich, F., Alexis, K., Hutter, M.: Graph-based subterranean exploration path planning using aerial and legged robots. J. Field Rob. 37(8), 1363–1388 (2020). Wiley Online Library
ESRIC, E.: ESA and ESRIC space resources challenge (2022)
Fankhauser, P., Bloesch, M., Hutter, M.: Probabilistic terrain mapping for mobile robots with uncertain localization. IEEE Rob. Autom. Lett. (RA-L) 3(4), 3019–3026 (2018)
Howell, T.A., Jackson, B.E., Manchester, Z.: Altro: a fast solver for constrained trajectory optimization. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7674–7679 (2019)
Huang, Y., Shan, T., Chen, F., Englot, B.: Disco-slam: Distributed scan context-enabled multi-robot lidar slam with two-stage global-local graph optimization. IEEE Rob. Autom. Lett. 7(2), 1150–1157 (2022)
Lajoie, P., Ramtoula, B., Wu, F., Beltrame, G.: Towards collaborative simultaneous localization and mapping: a survey of the current research landscape. CoRR abs/2108.08325 (2021)
Ma, J., Cheng, Z., Zhang, X., Tomizuka, M., Lee, T.H.: Alternating direction method of multipliers for constrained iterative LQR in autonomous driving. CoRR abs/2011.00462 (2020)
OpenRobotics.org: Ros/tcpros. http://wiki.ros.org/ros/tcpros (2013)
Pustułka, P., et al.: Racer as reliable training ground for the human enabled robotic architecture and capability for lunar exploration and science (heracles) missions
Shan, T., Englot, B., Meyers, D., Wang, W., Ratti, C., Daniela, R.: LIO-SAM: tightly-coupled lidar inertial odometry via smoothing and mapping. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5135–5142. IEEE (2020)
Łukasiewicz PIAP: Piap gryf®. https://www.antiterrorism.eu/portfolio-posts/piap-gryf/ (2022)
Łukasiewicz PIAP: Piap patrol®. https://www.antiterrorism.eu/portfolio-posts/robot_eod_piap_patrol/ (2022)
Wermelinger, M., Fankhauser, P., Diethelm, R., Krüsi, P., Siegwart, R., Hutter, M.: Navigation planning for legged robots in challenging terrain. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1184–1189 (2016)
Wittels, P., et al.: Racer: determination of the maximum speed of fast teleoperated rover for lunar exploration (2018)
Zhong, S., Qi, Y., Chen, Z., Wu, J., Chen, H., Liu, M.: DCL-SLAM: a distributed collaborative lidar slam framework for a robotic swarm (2022)
Acknowledgements
The project was partially financed by European Space Agency according to ESA Contract ITT No. AO/2-1811/21/NL/AT, 83/NS/2021 “Space Resources Challenge – Development of Prospecting Technologies”.
We gratefully acknowledge the technical assistance as well as important comments and suggestions provided by the rest of our colleagues engaged in realisation of SpacePatrol project from Łukasiewicz - PIAP.
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Gawdzik, G. et al. (2023). SpacePatrol - Development of Prospecting Technologies for ESA-ESRIC Challenge. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M., Bučinskas, V. (eds) Automation 2023: Key Challenges in Automation, Robotics and Measurement Techniques. AUTOMATION 2023. Lecture Notes in Networks and Systems, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-031-25844-2_13
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DOI: https://doi.org/10.1007/978-3-031-25844-2_13
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