Abstract
Localization and mapping of autonomous robots in a hard and unstable environment (Steep Slope Vineyards) is a challenging research topic. Typically, the commonly used dead reckoning systems can fail due to the harsh conditions of the terrain and the Global Position System (GPS) accuracy can be considerably noisy or not always available. One solution is to use wireless sensors in a network as landmarks. This paper evaluates a ultra-wideband time-of-flight based technology (Pozyx), which can be used as cost-effective solution for application in agricultural robots that works in harsh environment. Moreover, this paper implements a Localization Extended Kalman Filter (EKF) that fuses odometry with the Pozyx Range measurements to increase the default Pozyx Algorithm accuracy.
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Notes
- 1.
Library to deal with I/O interfaces http://pubs.opengroup.org/onlinepubs/7908799/xsh/termios.h.html.
- 2.
ROS PoseStamped message: http://docs.ros.org/api/geometry_msgs/html/msg/PoseStamped.html.
References
AGROB V1x - Robotics for Agriculture and Forestry - That works in steep slope viticulture. http://agrob.inesctec.pt/
Pozyx - centimeter positioning for Arduino. https://www.pozyx.io
pozyxLabs/Pozyx-Arduino-library. https://github.com/pozyxLabs/Pozyx-Arduino-library
Duarte, M., dos Santos, F.N., Sousa, A., Morais, R.: Agricultural wireless sensor mapping for robot localization, pp. 359–370. Springer International Publishing, Cham (2016). https://doi.org/10.1007/978-3-319-27146-0_28
González, J., Blanco, J., Galindo, C., de Galisteo, A.O., Fernández-Madrigal, J., Moreno, F., Martínez, J.: Mobile robot localization based on ultra-wide-band ranging: a particle filter approach. Robot. Auton. Syst. 57(5), 496–507 (2009). http://www.sciencedirect.com/science/article/pii/S0921889008001747
Guo, K., Qiu, Z., Miao, C., Zaini, A.H., Chen, C.L., Meng, W., Xie, L.: Ultra-wideband-based localization for quadcopter navigation. Unmanned Syst. 04(01), 23–34 (2016). http://www.worldscientific.com/doi/abs/10.1142/S2301385016400033
dos Santos, F.N., Sobreira, H., Campos, D., Morais, R., Paulo Moreira, A., Contente, O.: Towards a reliable robot for steep slope vineyards monitoring, vol. 83, pp. 429–444, September 2016. https://doi.org/10.1007/s10846-016-0340-5
Sobreira, H., Moreira, A.P., Costa, P., Lima, J.: Robust mobile robot localization based on a security laser: an industry case study. Ind. Robot Int. J. 43(6), 596–606 (2016). https://doi.org/10.1108/IR-01-2016-0026
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005)
Yenké, B.O., Aboubakar, M., Titouna, C., Ari, A.A.A., Gueroui, A.M.: Adaptive scheme for outliers detection in wireless sensor networks. Int. J. Comput. Netw. Commun. Secur. 105–114 (2017). http://www.ijcncs.org/published/volume5/issue5/p3_5-5.pdf
Eliazar, A.I., Parr, R.: Learning probabilistic motion models for mobile robots, p. 32 (2014). ACM Press. http://portal.acm.org/citation.cfm?doid=1015330.1015413
Acknowledgment
This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project “POCI-01-0145-FEDER-006961”, and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) as part of project UID/EEA/50014/2013.
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Conceição, T., Neves dos Santos, F., Costa, P., Moreira, A.P. (2018). Robot Localization System in a Hard Outdoor Environment. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-70833-1_18
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