Abstract
The obstacle avoidance and navigation are important tasks for a mobile robot in applications such as industry, military, exploration and automated vehicles. This paper presents an implementation of mapping and navigation of autonomous mobile robot using Robot Operating System (ROS) and Orbbec Astra camera. In recent days, Lidar is used for the mapping and navigation problem by sensing the objects which are above floor level by using only a single horizontal scanning line and this may result in inaccurate generation of map leads to collision during autonomous navigation of mobile robots. In order to overcome limitation of Lidar, Orbbec Astra (Kinect) camera is used for mapping of indoor environment which can detect objects which are above and below the floor level and navigation of mobile robot from start to target location without colliding with obstacles. Experimental results show the map of the indoor environment generated using Orbbec Astra camera is matched with real indoor environment, and generated map is tested experimentally to navigate the mobile robot from start to target location without collision with obstacles.
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References
Park, S.Y., Lee, G.H.: Mapping and localization of cooperative robots by ROS and SLAM in unknown working area. In: Proceedings of the SICE Annual Conference 2017, September 19–22, 2017
Rubinstein, A., Erez, T.: Autonomous robot for tunnel mapping. In: International Conference on the Science of Electrical Engineering (2016)
Zaman, S., Slany, W., Steinbauer, G.: ROS-based mapping, localization and autonomous navigation using a Pioneer 3-DX robot and their relevant issues. In: 2011 Saudi International Electronics, Communications and Photonics Conference, Riyadh, pp. 1–5 (2011)
Ghani, M.F.A., Sahari, K.S.M.: Detecting negative obstacle using Kinect sensor. Int. J. Adv. Robot. Syst. (2017)
Basavanna. M., Shivakumar, M.: Mapping of unknown indoor environment using Lidar and ROS. Int. J. Adv. Sci. Technol. 5(12) (2020)
Voisan, I., Precup, B.P., Dragan, F.: ROS-based robot navigation and human interaction in indoor environment. In: 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, May 21–23, 2015
Grisetti, G., Stachniss, C., Burgard, W.: Improved techniques for grid mapping with Rao-Blackwellized particle filters. IEEE Trans. Robot. 23(1), 34–46 (2007)
Norzam, W.A.S, Hawari, H.F., Kamarudin, K.: Analysis of mobile robot indoor mapping using GMapping based SLAM with different parameter. IOP Conf. Ser. Mater. Sci. Eng. (2019)
Santos, J.M., Portugal, D., Rocha, R.P.: An evaluation of 2D SLAM techniques available in robot operating system. In: 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Linkoping, pp. 1–6 (2013)
Ochiai, Y., Takemura, K., Ikeda, A., Takamatsu, J., Ogasawara, T.: Remote control system for multiple mobile robots using touch panel interface and autonomous mobility. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, IL, pp. 3272–3277 (2014)
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Basavanna, M., Shivakumar, M., Prakash, K.R. (2022). Navigation of Mobile Robot Through Mapping Using Orbbec Astra Camera and ROS in an Indoor Environment. In: Natarajan, S.K., Prakash, R., Sankaranarayanasamy, K. (eds) Recent Advances in Manufacturing, Automation, Design and Energy Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4222-7_53
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DOI: https://doi.org/10.1007/978-981-16-4222-7_53
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