Abstract
We present MOVING, a flexible and modular hardware and software platform for visual mapping and navigation in the real world. The platform comprises a flexible sensor configuration consisting of an RGB-D camera, a tracking camera for odometry, and a 2D Lidar, along with a compact processing unit that is equipped with a GPU for running deep learning models. The software is based on ROS, utilizing the RGB-D RTAB-Map SLAM system for mapping and localization and the move base package for path planning and robot movement control. The platform is easily detachable and can be installed on any robot with minimal adaptation required, enabling the reuse of the same robotic software regardless of the robot employed. The effectiveness of the proposed platform was verified through mapping sessions of a large indoor environment, leveraging a Loomo robot. The proposed platform can represent a reasonable solution to speed up the design and testing of new software for autonomous navigation systems, minimizing deployment time in the real world.
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References
Alkendi, Y., Seneviratne, L., Zweiri, Y.: State of the art in vision-based localization techniques for autonomous navigation systems. IEEE Access 9, 76847–76874 (2021)
Anwar, S., Bascou, N.A., Menekse, M., Kardgar, A.: A systematic review of studies on educational robotics. J. Pre-Coll. Eng. Educ. Res. (J-PEER) 9(2), 2 (2019)
Arvin, F., Espinosa, J., Bird, B., West, A., Watson, S., Lennox, B.: Mona: an affordable open-source mobile robot for education and research. J. Intell. Robot. Syst. 94, 761–775 (2019)
Biswal, P., Mohanty, P.K.: Development of quadruped walking robots: a review. Ain Shams Eng. J. 12(2), 2017–2031 (2021)
Chaplot, D.S., Gandhi, D., Gupta, S., Gupta, A., Salakhutdinov, R.: Learning to explore using active neural slam. In: International Conference on Learning Representations (ICLR) (2020)
Durrant-Whyte, H., Bailey, T.: Simultaneous localization and mapping: part I. IEEE Robot. Autom. Mag. 13(2), 99–110 (2006)
Feil-Seifer, D., Matarić, M.J.: Socially assistive robotics. IEEE Robot. Autom. Mag. 18(1), 24–31 (2011)
Grisetti, G., Stachniss, C., Burgard, W.: Improved techniques for grid mapping with rao-blackwellized particle filters. IEEE Trans. Robot. 23(1), 34–46 (2007)
Hägele, M., Nilsson, K., Pires, J.N., Bischoff, R.: Industrial robotics. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 963–986. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-540-30301-5_43
Hirai, K., Hirose, M., Haikawa, Y., Takenaka, T.: The development of honda humanoid robot. In: Proceedings of 1998 IEEE International Conference on Robotics and Automation (Cat. No. 98CH36146). IEEE (1998)
Kleeberger, K., Bormann, R., Kraus, W., Huber, M.F.: A survey on learning-based robotic grasping. Curr. Robot. Rep. 1, 239–249 (2020)
Labbé, M., Michaud, F.: RTAB-map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation. J. Field Robot. 36(2), 416–446 (2019)
Marder-Eppstein, E.: move_base - ros wiki (2016). http://wiki.ros.org/move_base
Mondada, F., et al.: Bringing robotics to formal education: the thymio open-source hardware robot. IEEE Robot. Autom. Mag. 24(1), 77–85 (2017)
Montemerlo, M., Roy, N., Thrun, S.: Perspectives on standardization in mobile robot programming: the Carnegie Mellon navigation (carmen) toolkit. In: Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No. 03CH37453). IEEE (2003)
Mur-Artal, R., Tardós, J.D.: ORB-SLAM2: an open-source slam system for monocular, stereo, and RGB-D cameras. IEEE Trans. Robot. 33(5), 1255–1262 (2017)
Muratore, L., Laurenzi, A., Hoffman, E.M., Rocchi, A., Caldwell, D.G., Tsagarakis, N.G.: Xbotcore: a real-time cross-robot software platform. In: 2017 First IEEE International Conference on Robotic Computing (IRC). IEEE (2017)
Möller, R., Furnari, A., Battiato, S., Härmä, A., Farinella, G.M.: A survey on human-aware robot navigation. Robot. Auton. Syst. (RAS) 145, 103837 (2021)
Pérez-D’Arpino, C., Liu, C., Goebel, P., Martín-Martín, R., Savarese, S.: Robot navigation in constrained pedestrian environments using reinforcement learning (2020)
Quigley, M., et al.: ROS: an open-source robot operating system. In: ICRA Workshop on Open Source Software, Kobe, Japan (2009)
Saeedvand, S., Jafari, M., Aghdasi, H.S., Baltes, J.: A comprehensive survey on humanoid robot development. Knowl. Eng. Rev. 34, e20 (2019)
Schönberger, J.L., Frahm, J.M.: Structure-from-motion revisited. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
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This research is supported by Next Vision s.r.l. (Next Vision: https://www.nextvisionlab.it/) and by the project Future Artificial Intelligence Research (FAIR) - PNRR MUR Cod. PE0000013 - CUP: E63C22001940006.
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Rosano, M., Ragusa, F., Furnari, A., Farinella, G.M. (2023). MOVING: A MOdular and Flexible Platform for Embodied VIsual NaviGation. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing – ICIAP 2023. ICIAP 2023. Lecture Notes in Computer Science, vol 14234. Springer, Cham. https://doi.org/10.1007/978-3-031-43153-1_7
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