Abstract
Challenges and ideas of using large compact groups of Micro Aerial Vehicles (MAVs) for realization of antenna-like sensing devices with flexible shape, which may be adaptively changed based on the currently sensed properties of the scanned medium is presented in this paper. This approach enables to use very simple, light-weight and cheap sensors carried onboard of UAVs and cooperatively deploy them to maximise overall sensitivity of the compound sensory array and to optimise the overall gained information. Possibility to precisely adapt relative positions of MAVs in the swarm based on currently measured sensory values brings high flexibility and better performance in numerous applications that have to be solved by large and heavy detectors nowadays.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Baca, T., Loianno, G., Saska, M.: Embedded model predictive control of unmanned micro aerial vehicles. MMAR (2016)
Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., Leonard, J.J.: Past, present, and future of simultaneous localization and mapping: toward the robust-perception age. IEEE Trans. Robot. 32(6), 1309–1332 (2016)
Faigl, J., Krajnik, T., Chudoba, J., Preucil, L., Saska, M.: Low-cost embedded system for relative localization in robotic swarms. In: IEEE ICRA (2013)
Krajnik, T., Nitsche, M., Faigl, J., Vanek, P., Saska, M., Preucil, L., Duckett, T., Mejail, M.: A practical multirobot localization system. J. Intell. Robot. Syst. 76(3–4), 539–562 (2014)
Saska, M.: MAV-swarms: unmanned aerial vehicles stabilized along a given path using onboard relative localization. In: International Conference on Unmanned Aircraft Systems (ICUAS) (2015)
Saska, M., Baca, T., Hert, D.: Formations of unmanned micro aerial vehicles led by migrating virtual leader. In: 14th International Conference on Control, Automation, Robotics and Vision (ICARCV) (2016)
Saska, M., Baca, T., Thomas, J., Preucil, L., Krajnik, T., Loianno, G., Kumar, V.: System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization. Auton. Robot. 41(4), 919–944 (2017)
Saska, M., Chudoba, J., Preucil, L., Thomas, J., Loianno, G., Kumar, V.: Autonomous deployment of swarms of micro-aerial vehicles in cooperative surveillance. In: ICUAS (2014)
Saska, M., Kasl, Z., Preucil, L.: Motion planning and control of formations of micro aerial vehicles. In: 19th World Congress of the International Federation of Automatic Control (IFAC). IFAC (2014)
Saska, M., Krajnik, T., Vonasek, V., Kasl, Z., Spurny, V., Preucil, L.: Fault-tolerant formation driving mechanism designed for heterogeneous MAVs-UGVs groups. J. Intell. Robot. Syst. 73(1–4), 603–622 (2014)
Saska, M., Krajnik, T., Vonasek, V., Vanek, P., Preucil, L.: Navigation, localization and stabilization of formations of unmanned aerial and ground vehicles. In: International Conference on Unmanned Aircraft Systems (ICUAS) (2013)
Saska, M., Langr, J., Preucil, L.: Plume tracking by a self-stabilized group of micro aerial vehicles. In: Modelling and Simulation for Autonomous Systems (2014)
Saska, M., Vakula, J., Preucil, L.: Swarms of micro aerial vehicles stabilized under a visual relative localization. In: IEEE ICRA (2014)
Saska, M., Vonásek, V., Chudoba, J., Thomas, J., Loianno, G., Kumar, V.: Swarm distribution and deployment for cooperative surveillance by micro-aerial vehicles. J. Intell. Robot. Syst. 84(1), 469–492 (2016)
Saska, M., Vonasek, V., Krajnik, T., Preucil, L.: Coordination and navigation of heterogeneous UAVs-UGVs teams localized by a hawk-eye approach. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2012)
Saska, M., Vonasek, V., Krajnik, T., Preucil, L.: Coordination and navigation of heterogeneous MAV&UGV formations localized by a ‘hawk-eye’-like approach under a model predictive control scheme. Int. J. Robot. Res. 33(10), 1393–1412 (2014)
Spurny, V., Baca, T., Saska, M.: Complex manoeuvres of heterogeneous MAV-UGV formations using a model predictive control. In: 21st International Conference on Methods and Models in Automation and Robotics (MMAR) (2016)
Acknowledgements
The work has been supported by the Czech Science Foundation (GACR) under research project No. 17-16900Y. Also the support of the CESNET association is greatly appreciated.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Saska, M. (2020). Large Sensors with Adaptive Shape Realised by Self-stabilised Compact Groups of Micro Aerial Vehicles. In: Amato, N., Hager, G., Thomas, S., Torres-Torriti, M. (eds) Robotics Research. Springer Proceedings in Advanced Robotics, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-28619-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-28619-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-28618-7
Online ISBN: 978-3-030-28619-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)