Supervision of multi-robot systems by adaptive projection onto common map
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12270Keywords:
Perception and sensing, Localization, Map building, Multi-agent systems, Mobile robots, TeleoperationAbstract
This manuscript presents a system for the adaptive representation of the pose of multiple robotic platforms operating in the same environment. The system is based on the CAD2SLAM methodology and projects the individual positions of each robot onto a common base map employing a non-rigid projection grid adjusted using a set of correspondence points and least-squares optimization. This enables a coherent and easy to understand representation of each robot’s relative position, regardless of the type of sensors or SLAM system. The human operator can supervise the global state of the multi-robot system in a more intuitive and efficient manner, without altering the internal architecture and the normal operation of the robots. Validated in both simulated and real-world scenarios, it demonstrates robustness and real-time execution. The main novelty of this system lies in the use of a base map as a common reference system for all robots, facilitating cooperation between heterogeneous platforms and improving the visual interpretation of the environment.
References
Bayón Gutiérrez, M., 2025. Percepción y optimización en plataformas robóticas autónomas. Ph.D. thesis, Universidad de León. ´DOI: 10.18002/10612/24650
Bayón-Gutiérrez, M., Prieto-Fern´ández, N., García-Ordas, M. T., Benítez Andrades, J. A., Alaiz-Moretón, H., Grisetti, G., 2025. Cad2slam: Adaptive projection between cad blueprints and slam maps. IEEE Rootics and Automation Letters. DOI: 10.1109/LRA.2024.3522838
Birk, A., Carpin, S., 2006. Merging occupancy grid maps from multiple robots. Proceedings of the IEEE 94 (7), 1384–1397. DOI: 10.1109/JPROC.2006.876965
Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., Leonard, J. J., 2016. Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age. IEEE Transactions on Robotics 32 (6), 1309–1332. DOI: 10.1109/TRO.2016.2624754
Chen, S., Han, R., Zhao, L., Hang, S., Hao, Q., 2021. Multi-robot featurebased slam using submap joining. In: Australasian Conference on Robotics and Automation. ARAA.
Holz, D., Behnke, S., 2010. Sancta simplicitas - on the efficiency and achievable results of slam using icp-based incremental registration. In: 2010 IEEE International Conference on Robotics and Automation. pp. 1380–1387. DOI: 10.1109/ROBOT.2010.5509918
Lajoie, P.-Y., Beltrame, G., 2023. Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems. IEEE Robotics and Automation Letters 9 (1), 475–482. DOI: 10.1109/LRA.2023.3333742
Lajoie, P.-Y., Ramtoula, B., Wu, F., Beltrame, G., 2022. Towards collaborative simultaneous localization and mapping: a survey of the current research landscape. Field Robotics 2, 971–1000. DOI: 10.55417/fr.2022032
Rizk, Y., Awad, M., Tunstel, E. W., 2019. Cooperative heterogeneous multirobot systems: A survey. ACM Computing Surveys (CSUR) 52 (2), 1–31. DOI: 10.1145/3303848
Wang, C., Yu, C., Xu, X., Gao, Y., Yang, X., Tang, W., Yu, S., Chen, Y., Gao, F., Jian, Z., et al., 2025. Multi-robot system for cooperative exploration in unknown environments: A survey. arXiv preprint arXiv:2503.07278.
Xia, X., Bhatt, N. P., Khajepour, A., Hashemi, E., 2023. Integrated inertiallidar-based map matching localization for varying environments. IEEE Transactions on Intelligent Vehicles 8 (10), 4307–4318. DOI: 10.1109/TIV.2023.3298892
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Martín Bayón Gutiérrez, Natalia Prieto Fernández, María Teresa García Ordás, Carmen Benavides, José Alberto Benítez Andrades

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.