Uneingeschränkter Zugang

Cluster optimization and algorithm design for machine vision in industrial robot control systems

, , ,  und   
03. Sept. 2024

Zitieren
COVER HERUNTERLADEN

Ali, M. H., Aizat, K., Yerkhan, K., Zhandos, T., & Anuar, O. (2018). Vision-based robot manipulator for industrial applications. Procedia computer science, 133, 205-212. Search in Google Scholar

Ren, Z., Fang, F., Yan, N., & Wu, Y. (2022). State of the art in defect detection based on machine vision. International Journal of Precision Engineering and Manufacturing-Green Technology, 9(2), 661-691. Search in Google Scholar

Yen, V. T., Nan, W. Y., & Van Cuong, P. (2019). Recurrent fuzzy wavelet neural networks based on robust adaptive sliding mode control for industrial robot manipulators. Neural Computing and Applications, 31(11), 6945-6958. Search in Google Scholar

Steger, C., Ulrich, M., & Wiedemann, C. (2018). Machine vision algorithms and applications. John Wiley & Sons. Search in Google Scholar

Urrea, C., & Pascal, J. (2018). Design, simulation, comparison and evaluation of parameter identification methods for an industrial robot. Computers & electrical engineering, 67, 791-806. Search in Google Scholar

Lins, R. G., de Araujo, P. R. M., & Corazzim, M. (2020). In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems. Robotics and computer-integrated manufacturing, 61, 101859. Search in Google Scholar

Brito, T., Queiroz, J., Piardi, L., Fernandes, L. A., Lima, J., & Leitão, P. (2020). A machine learning approach for collaborative robot smart manufacturing inspection for quality control systems. Procedia Manufacturing, 51, 11-18. Search in Google Scholar

Fernández-Robles, L., Azzopardi, G., Alegre, E., & Petkov, N. (2017). Machine-vision-based identification of broken inserts in edge profile milling heads. Robotics and Computer-Integrated Manufacturing, 44, 276-283. Search in Google Scholar

Yao, B., Zhou, Z., Wang, L., Xu, W., Liu, Q., & Liu, A. (2018). Sensorless and adaptive admittance control of industrial robot in physical human− robot interaction. Robotics and Computer-Integrated Manufacturing, 51, 158-168. Search in Google Scholar

Zhou, L., Zhang, L., & Konz, N. (2022). Computer vision techniques in manufacturing. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1), 105-117. Search in Google Scholar

Wang, T., Chen, B., Zhang, Z., Li, H., & Zhang, M. (2022). Applications of machine vision in agricultural robot navigation: A review. Computers and Electronics in Agriculture, 198, 107085. Search in Google Scholar

Quarta, D., Pogliani, M., Polino, M., Maggi, F., Zanchettin, A. M., & Zanero, S. (2017, May). An experimental security analysis of an industrial robot controller. In 2017 IEEE Symposium on Security and Privacy (SP) (pp. 268-286). IEEE. Search in Google Scholar

Javaid, M., Haleem, A., Singh, R. P., Rab, S., & Suman, R. (2022). Exploring impact and features of machine vision for progressive industry 4.0 culture. Sensors International, 3, 100132. Search in Google Scholar

Alonso, V., Dacal-Nieto, A., Barreto, L., Amaral, A., & Rivero, E. (2019). Industry 4.0 implications in machine vision metrology: an overview. Procedia manufacturing, 41, 359-366. Search in Google Scholar

Khang, A., Hajimahmud, V. A., Ali, R. N., Hahanov, V., & Avramovic, Z. (2024). Role of Machine Vision in Manufacturing and Industrial Revolution 4.0. In Machine Vision and Industrial Robotics in Manufacturing (pp. 1-13). CRC Press. Search in Google Scholar

Moru, D. K., & Borro, D. (2020). A machine vision algorithm for quality control inspection of gears. The International Journal of Advanced Manufacturing Technology, 106(1), 105-123. Search in Google Scholar

Penumuru, D. P., Muthuswamy, S., & Karumbu, P. (2020). Identification and classification of materials using machine vision and machine learning in the context of industry 4.0. Journal of Intelligent Manufacturing, 31(5), 1229-1241. Search in Google Scholar

Frank, D., Chhor, J., & Schmitt, R. (2017, December). Stereo-vision for autonomous industrial inspection robots. In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 2555-2561). IEEE. Search in Google Scholar

Benbarrad, T., Salhaoui, M., Kenitar, S. B., & Arioua, M. (2021). Intelligent machine vision model for defective product inspection based on machine learning. Journal of Sensor and Actuator Networks, 10(1), 7. Search in Google Scholar

Arents, J., & Greitans, M. (2022). Smart industrial robot control trends, challenges and opportunities within manufacturing. Applied Sciences, 12(2), 937. Search in Google Scholar

Evjemo, L. D., Gjerstad, T., Grøtli, E. I., & Sziebig, G. (2020). Trends in smart manufacturing: Role of humans and industrial robots in smart factories. Current Robotics Reports, 1, 35-41. Search in Google Scholar

Vick, A., & Krueger, J. (2018, June). Using OPC UA for distributed industrial robot control. In ISR 2018; 50th International Symposium on Robotics (pp. 1-6). VDE. Search in Google Scholar

Wang, Y. (2020). Robot algorithm based on neural network and intelligent predictive control. Journal of Ambient Intelligence and Humanized Computing, 11(12), 6155-6166. Search in Google Scholar

Qian, J., Zi, B., Wang, D., Ma, Y., & Zhang, D. (2017). The design and development of an omnidirectional mobile robot oriented to an intelligent manufacturing system. Sensors, 17(9), 2073. Search in Google Scholar

Qiangxian Huang,Tao Xiang,Zhihao Zhao,Kui Wu,Hongli Li,Rongjun Cheng... & Zhenying Cheng. (2024). Directional region-based feature point matching algorithm based on SURF. Journal of the Optical Society of America. A, Optics, image science, and vision(2),157-164. Search in Google Scholar

Han Luyang,Boese Markus,Gamm Bjoern & Tordoff Benjamin. (2021). A new beam alignment method in SEM based on parallax principle. Microscopy and Microanalysis(S1),1612-1613. Search in Google Scholar

Cui Yongbin. (2024). Application of cultural elements of dunhuang murals in landscape design based on mean shift algorithm extraction. Journal of Computational Methods in Sciences and Engineering(1),473-487. Search in Google Scholar

Yang Jinfeng,Que Huakun,Liu Wenjia & Xiao Jiang. (2024). A Monitoring Model for Abnormal Electricity Consumption Based on K-Means++ Clustering and Improved K-Nearest Neighbor Algorithm. Smart Grids and Sustainable Energy(2). Search in Google Scholar

N. Hanuman Reddy,Lathigara Amit,Aluvalu Rajanikanth & V. Uma Maheswari. (2024). Clustering based EO with MRF technique for effective load balancing in cloud computing. International Journal of Pervasive Computing and Communications(1),168-192. Search in Google Scholar

Wang Wentao & Tian Jun. (2022). An Improved Nonlinear Tuna Swarm Optimization Algorithm Based on Circle Chaos Map and Levy Flight Operator. Electronics(22),3678-3678. Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere