Abstract
In this work is presented a novel platform able to navigate autonomously in unknown indoor environments. The system has been designed as a framework with different interconnected modules in order to be able to apply the same navigation system to different robotic platforms. The proposed framework is a real–time system developed on board of the robot, without the need of external computing units. The entire system has been tested and evaluated on multi–rotors vehicles with different hardware configurations, evaluating the performance and the quality of the reconstructed map. Experimental results show a promising robust and highly accurate indoor navigation module.
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Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: ROS: an open-source robot operating system. In: ICRA Workshop on Open Source Software, vol. 3, p. 5 (2009)
Meier, L., Honegger, D., Pollefeys, M.: PX4: a node-based multithreaded open source robotics framework for deeply embedded platforms. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 6235–6240. IEEE (2015)
Labbe, M., Michaud, F.: Appearance-based loop closure detection for online large-scale and long-term operation. IEEE Trans. Rob. 29(3), 734–745 (2013)
Mannucci, A., Nardi, S., Pallottino, L.: Autonomous 3D exploration of large areas: a cooperative frontier-based approach. In: Mazal, J. (ed.) MESAS 2017. LNCS, vol. 10756, pp. 18–39. Springer, Cham (2017)
ETH Zurich: Qgroundcontrol: ground control station for small air land water autonomous unmanned systems (2013)
Labbe, M., Michaud, F.: Online global loop closure detection for large-scale multi-session graph-based SLAM. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), pp. 2661–2666. IEEE (2014)
Misra, P., Enge, P.: Global Positioning System: Signals, Measurements and Performance, 2nd edn. Ganga-Jamuna Press, Massachusetts (2006)
Meier, L., Camacho, J., Godbolt, B., Goppert, J., Heng, L., Lizarraga, M., et al.: MAVLink: micro air vehicle communication protocol (2013). Tillgänglig: http://qgroundcontrol.org/mavlink/start. Hämtad 22 May 2014
Meier, L., Tanskanen, P., Fraundorfer, F., Pollefeys, M.: PIXHAWK: a system for autonomous flight using onboard computer vision. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 2992–2997. IEEE (2011)
Bircher, A., Kamel, M., Alexis, K., Oleynikova, H., Siegwart, R.: Receding horizon “next-best-view” planner for 3D exploration. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1462–1468. IEEE (2016)
Nardi, S., Della Santina, C., Meucci, D., Pallottino, L.: Coordination of unmanned marine vehicles for asymmetric threats protection. In: OCEANS 2015-Genova, pp. 1–7. IEEE (2015)
Nardi, S., Fabbri, T., Caiti, A., Pallottino, L.: A game theoretic approach for antagonistic-task coordination of underwater autonomous robots in asymmetric threats scenarios. In: OCEANS 2016-Monterey. IEEE (2016)
Nardi, S., Pallottino, L.: NoStop: an open source framework for design and test of coordination protocol for asymmetric threats protection in marine environment. In: Hodicky, J. (ed.) MESAS 2016. LNCS, vol. 9991, pp. 176–185. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47605-6_14
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Silvestri, L., Pallottino, L., Nardi, S. (2018). Design of an Indoor Autonomous Robot Navigation System for Unknown Environments. In: Mazal, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2017. Lecture Notes in Computer Science(), vol 10756. Springer, Cham. https://doi.org/10.1007/978-3-319-76072-8_11
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DOI: https://doi.org/10.1007/978-3-319-76072-8_11
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