Abstract
This article describes a new pick-and-place robotic system based on the use of upside-down robots: robots capable of climbing up walls or moving on ceilings in upside down. This configuration could offer an alternative to the use of delta robots. The fleet of robots is capable to pick some objects transported by a conveyor belt and download them in an unload area. Compared to delta robots, upside-down robots can move on a wider workspace and the configuration is scalable. A planning strategy for the upside-down robot fleet is presented. The identified algorithm has been simulated and its potential has been highlighted.
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References
Karimi Eskandary, P., Belzile, B., Angeles, J.: Trajectory-planning and normalized-variable control for parallel pick-and-place robots. J. Mech. Robot. 11(3), 031001 (2019)
Liu, X.-J., Han, G., Xie, F., Meng, Q., Zhang, S.: A novel parameter optimization method for the driving system of high-speed parallel robots. J. Mech. Robot. 10(4), 041010 (2018)
Briot, S., Caro, S., Germain, C.: Design procedure for a fast and accurate parallel manipulator. J. Mech. Robot. 9(6), 061012 (2017)
Larochelle, P.: Synthesis of planar mechanisms for pick and place tasks with guiding positions. J. Mech. Robot. 7(3), 031009 (2015)
Li, T., Ma, S., Li, B., Wang, M., Li, Z., Wang, Y.: Development of an in-pipe robot with differential screw angles for curved pipes and vertical straight pipes. J. Mech. Robot. 9(5), 051014 (2017)
Dharmawan, A.G., et al.: Design, modeling, and experimentation of a bio-inspired miniature climbing robot with bilayer dry adhesives. J. Mech. Robot. 11(2), 020902 (2019)
Hong, D.W., Ingram, M., Lahr, D.: Whole skin locomotion inspired by amoeboid motility mechanisms. J. Mech. Robot. 1(1), 1–7 (2008)
Asbeck, A.T., Cutkosky, M.R.: Designing compliant spine mechanisms for climbing. J. Mech. Robot. 4(3), 031007 (2012)
Silva, M.F., Machado, J.T., Tar, J.K.: A survey of technologies for climbing robots adhesion to surfaces. In: 2008 IEEE International Conference on Computational Cybernetics, pp. 127–132. IEEE (2008)
Cai, J., He, K., Fang, H., Chen, H., Hu, S., Zhou, W.: The design of permanent-magnetic wheeled wall-climbing robot. In: 2017 IEEE International Conference on Information and Automation (ICIA), pp. 604–608. IEEE (2017)
Mazumdar, A., Asada, H.H.: An underactuated, magnetic-foot robot for steel bridge inspection. J. Mech. Robot. 2(3), 031007 (2010)
Howlader, M.O.F., Sattar, T.P.: Development of magnetic adhesion based climbing robot for non-destructive testing. In: 2015 7th Computer Science and Electronic Engineering Conference (CEEC), pp. 105–110. IEEE (2015)
Faruq Howlader, M.D.O., Sattar, T.P.: Design and optimization of permanent magnet based adhesion module for robots climbing on reinforced concrete surfaces. In: Bi, Y., Kapoor, S., Bhatia, R. (eds.) Intelligent Systems and Applications. SCI, vol. 650, pp. 153–171. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33386-1_8
Zhang, Y., Dodd, T., Atallah, K., Lyne, I.: Design and optimization of magnetic wheel for wall and ceiling climbing robot. In: 2010 IEEE International Conference on Mechatronics and Automation, pp. 1393–1398. IEEE (2010)
Ishihara, H.: Basic study on wall climbing root with magnetic passive wheels, pp. 1964–1969 (2017)
Seriani, S., Scalera, L., Caruso, M., Gasparetto, A., Gallina, P.: Upside-down robots: modeling and experimental validation of magnetic-adhesion mobile systems. Robotics 8(2), 41 (2019)
Acknowledgements
This research was supported by the University of Trieste - University funding for scientific Research projects - FRA 2018, the LAMA FVG project and the PRIN 2017 project “SEDUCE” n. 2017TWRCNB from the Italian Ministry of University and Research.
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Formigli, M., Bonin, L., Gallina, P., Seriani, S. (2022). Path Planning of Robot Fleet in Upside-Down Configuration. In: Niola, V., Gasparetto, A., Quaglia, G., Carbone, G. (eds) Advances in Italian Mechanism Science. IFToMM Italy 2022. Mechanisms and Machine Science, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-031-10776-4_88
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DOI: https://doi.org/10.1007/978-3-031-10776-4_88
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