Abstract
Automobile industry faces one of the most flexible productivity caused by the number of customized models variants due to the buyers needs. This fact requires the production system to introduce flexible, adaptable and cooperative with humans solutions. In the present work, a panel that should be mounted inside a van is addressed. For that purpose, a mobile manipulator is suggested that could share the same space with workers helping each other. This paper presents the navigation system for the robot that enters the van from the rear door after a ramp, operates and exits. The localization system is based on 3DOF methodologies that allow the robot to operate autonomously. Real tests scenarios prove the precision and repeatability of the navigation system outside, inside and during the ramp access of the van.
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References
Schulze, L., Wullner, A.: The approach of automated guided vehicle systems. In: 2006 IEEE International Conference on Service Operations and Logistics, and Informatics, pp. 522–527 (2006)
Schulze, L., Behling, S., Buhrs, S.: Automated guided vehicle systems: a driver for increased business performance. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, pp. 19–21 (2008)
Pinto, M., Sobreira, H., Moreira, A., Mendonça, H., Matos, A.: Self-localisation of indoor mobile robots using multi-hypotheses and a matching algorithm. Mechatronics 23(6), 727–737 (2013)
Clearpath Robotics manufacturer site. https://www.clearpathrobotics.com/. Accessed 01 Sept 2019
ColRobot project site. https://www.colrobot.eu/. Accessed 01 Sept 2019
Tomatis, N.: BlueBotics: navigation for the clever robot [entrepreneur]. IEEE Robot. Autom. Mag. 18(2), 14–16 (2011)
Sobreira, H., Moreira, A., Costa, P., Lima, J.: Mobile robot localization based on a security laser: an industry scene implementation. In: ROBOT 2015 - Second Iberian Robotics Conference, November 2015
Sobreira, H., Moreira, A., Costa, P., Lima, J.: Robust mobile robot localization based on security laser scanner. In: 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (2015)
Sobreira, H., Pinto, M., Moreira, A., Costa, P., Lima, J.: Robust robot localization based on the perfect match algorithm. In: 11th Portuguese Conference on Automatic Control CONTROLO 2014. Lecture Notes in Electrical Engineering (2014)
Sobreira, H., Moreira, A., 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
Sobreira, H., Costa, C., Sousa, I., Rocha, L., Lima, J., Farias, A., Costa, P., Moreira, A.: Map-matching algorithms for robot self-localization: a comparison between perfect match, iterative closest point and normal distributions transform. J. Intell. Robot. Syst. 93(3–4), 533–546 (2018)
Lauer, M., Lange, S., Riedmiller, M.: Calculating the perfect match: an efficient and accurate approach for robot self-localization. In: RoboCup Symposium, Osaka, Japan, 13–19 July 2005, pp. 142–153 (2005)
Acknowledgment
This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme, and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project SAICTPAC/0034/2015- POCI-01- 0145-FEDER-016418.
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Sobreira, H., Rocha, L., Lima, J., Rodrigues, F., Moreira, A.P., Veiga, G. (2020). Autonomous Robot Navigation for Automotive Assembly Task: An Industry Use-Case. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer, Cham. https://doi.org/10.1007/978-3-030-35990-4_52
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