1st ICAI 2020

International Conference on Automotive Industry 2020

Mladá Boleslav, Czech Republic

[5] K. Song, Y. Chang and J. Chen, (2019). 3D Vision for Object Grasp and Obstacle Avoidance of a Collaborative Robot, 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong, China, pp. 254-258. [6] Kluska-Nawarecka, S., Jancikova, Z., David, J., Wilk-Kolodzieczyk, D., Regulski, K. and Dajda, (2014). J. Knowledge components description, support to prevent defects of metal products using methods based on artificial intelligence and etl technologies. In: METAL 2014 : 23RD International Conference on Metallurgy and Materials . Ostrava: Tanger, 2014, pp. 1451-1457. [7] A. Buerkle and S. Fatikow, (2000). Laser measuring system for a flexible microrobot- based micromanipulation station, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No. 00CH37113), Takamatsu, Japan, 2000, pp. 799-804 vol. 1. [8] Selami, Y., Lv, N., Tao, W., Yang, H. and Zhao, H. (2020). Optimizing laser triangulation displacement sensor of 3D positioning and posture using COA Based BPNN, Sensor Review , Vol. 40 No. 1, pp. 112-120. https://doi.org/10.1108/SR- 03-2019-0085 [9] Pérez, L., Rodríguez, Í., Rodríguez, N., Usamentiaga, R. and García, D.F. (2016). Robot guidance using machine vision techniques in industrial environments: A comparative review. Sensors (Switzerland), 16(3). [10] Nikita, A. and Romaniuk, RS. and Linczuk, M. (2019). The use of 3D imaging to determine the orientation and location of the object based on the CAD model. In: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 [online]. SPIE, 2019, 2019-11-6, s. 158. [cit. 2020-03-09]. DOI: 10.1117/12.2536895. ISBN 9781510630659. Available at: https://www. spiedigitallibrary.org/conference-proceedings-of-spie/11176/2536895/The-use-of- 3D-imaging-to-determine-the-orientation-and/10.1117/12.2536895.full [11] Frischer, R., David, J., Svec, P. and Krejcar, O. (2015). Usage of analytical diagnostics when evaluating functional surface material defects. Metalurgija , 54, (4), pp. 667-670. [12] M. Fujita, Y. Domae, A. Noda, G. A. Garcia Ricardez, T. Nagatani, A. Zeng, S. Song, A. Rodriguez, A. Causo, I. M. Chen and T. Ogasawara (2019). What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics, Advanced Robotics , DOI: 10.1080/01691864.2019.1698463

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