Accès libre

Research on visual recognition and positioning of industrial robots based on big data technology

   | 16 août 2023
À propos de cet article

Citez

Lee, T. J., Kim, C. H., & Cho, D. I. D. (2018). A Monocular Vision Sensor-Based Efficient SLAM Method for Indoor Service Robots. IEEE Transactions on Industrial Electronics, 66(1), 318-328. Search in Google Scholar

Zhao, L., Zhang, J., & Gao, L. (2022). Path optimization for uniform removal pre-polishing of optical glass with industrial robots. Optical Engineering, 61(4). Search in Google Scholar

Sprunk, C., Lau, B., Pfaff, P., et al. (2017). An accurate and efficient navigation system for omnidirectional robots in industrial environments. Autonomous Robots, 41(2), 473-493. Search in Google Scholar

Ren, S., He, K., Girshick, R., et al. (2017). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6), 1137-1149. Search in Google Scholar

Wan, G., Li, F., Zhu, W., & Wang, G. (2020). High-precision six-degree-of-freedom pose measurement and grasping system for large-size object based on binocular vision. Sensor Review, 40(1). Search in Google Scholar

Moru, D. K., & Borro, D. (2021). Analysis of different parameters of influence in industrial cameras calibration processes. Measurement, 171. Search in Google Scholar

Levine, S., Pastor, P., Krizhevsky, A., et al. (2017). Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection. International Journal of Robotics Research. Search in Google Scholar

Zhou, L. (2022). The monitoring and early warning system of water biological environment based on machine vision. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Sanchez-Riera, J., Hua, K. L., Hsiao, Y. S., et al. (2016). A comparative study of data fusion for RGB-D based visual recognition. Pattern Recognition Letters, 73(10), 1-6. Search in Google Scholar

Wang, A. R., Lu, J. W., Cai, J. F., et al. (2015). Large-margin multi-modal deep learning for RGB-D object recognition. IEEE Transactions on Multimedia, 17(11), 1887-1898. Search in Google Scholar

Ni, H. P., Liu, Y. N., Zhang, C. R., et al. (2016). Sorting system algorithms based on machine vision for Delta robot. Robot, 38(1), 49-55. Search in Google Scholar

Wang, Y. N., Chen, T. Z., He, Z. D., et al. (2015). Review on the machine vision measurement and control technology for intelligent manufacturing equipment. Control Theory and Applications, 32(3), 273-286. Search in Google Scholar

Schmitt, R., & Cai, Y. (2014). Recognition of dynamic environments for robotic assembly on moving workpieces. International Journal of Advanced Manufacturing Technology, 71(5-8), 1359-1369. Search in Google Scholar

Bai, J., Zhang, Y., Qin, X., et al. (2020). Hybrid calibration and detection approach for mobile robotic manufacturing systems. Industrial Robot, ahead-of-print(ahead-of-print). Search in Google Scholar

Zhu, Y., Wang, T., & Zhu, S. (2022). A novel tracking system for human following robots with fusion of MMW radar and monocular vision. Industrial Robot, 2022(1), 49. Search in Google Scholar

CongMing, ZhangJiaqi, DuYu, et al. (2020). A Porcine Abdomen Cutting Robot System Using Binocular Vision Techniques Based on Kernel Principal Component Analysis. Journal of Intelligent & Robotic Systems. Search in Google Scholar

Boby, R. A. (2021). Kinematic Identification of Industrial Robot using End-effector Mounted Monocular Camera bypassing Measurement of 3D Pose. IEEE/ASME Transactions on Mechatronics, PP(99), 1-1. Search in Google Scholar

Fern, E. (2021). Coordinate transformation and its uncertainty under consideration of a non-orthogonal coordinate base. Measurement Science & Technology, 32(4). Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics