This paper introduces a methodology for precise object orientation determination using Principal Component Analysis, with robust performance under significant noise conditions. It validates the potential to mitigate the challenges associated with Axis-Aligned Bounding Boxes in smart manufacturing environments. The proposed approach paves the way for improved alignment in robotic grasping tasks, positioning it as a computationally efficient alternative to ML methods employing Oriented Bounding Boxes. The methodology demonstrated a maximum angle deviation of 3.5 degrees under severe noise conditions through testing with bolts in orientations of 0 to 180 degrees.
|Title of host publication||The 39th International Manufacturing Conference|
|Subtitle of host publication||Smart Manufacturing: The Next Generation|
|Number of pages||2|
|Publication status||Accepted/In press - 25 Aug 2023|
|Event||The 39th International Manufacturing Conference: Smart Manufacturing - The Next Generation - Ulster University, Magee Campus, Derry/Londonderry, Northern Ireland|
Duration: 24 Aug 2023 → 25 Aug 2023
|Conference||The 39th International Manufacturing Conference|
|Abbreviated title||IMC39 2023|
|Period||24/08/23 → 25/08/23|
Bibliographical noteD.L. Pham and T.W. Chang, "A YOLO-based real-time packaging
defect detection system," in Procedia Computer Science, vol. 217,
pp. 886-894, 2023.
C.C. Wong, M.Y. Chien, R.J. Chen, H. Aoyama, and K.Y. Wong,
"Moving object prediction and grasping system of robot
manipulator," in IEEE Access, vol. 10, pp. 20159-20172, 2022.
H. Giberti, T. Abbattista, M. Carnevale, L. Giagu, and F. Cristini, "A
methodology for flexible implementation of collaborative robots in
smart manufacturing systems," in Robotics, vol. 11, no. 1, p. 9, 2022.
K. Nguyen, N. T. Huynh, P. C. Nguyen, K. D. Nguyen, N. D. Vo,
and T. V. Nguyen, "Detecting objects from space: An evaluation of
deep-learning modern approaches," Electronics, vol. 9, no. 4, pp.
M. Zand, A. Etemad, and M. Greenspan, "Oriented Bounding Boxes
for Small and Freely Rotated Objects," in IEEE Transactions on
Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art. no.
4701715, doi: 10.1109/TGRS.2021.3076050.
H. Abdi and L.J. Williams, "Principal component analysis," Wiley
interdisciplinary reviews: computational statistics, vol. 2, no. 4, pp.
Accessed on: July 14, 2023.
G.B.P. da Costa, W.A. Contato, T.S. Nazare, J.E. Neto, and M.
Ponti, "An empirical study on the effects of different types of noise
in image classification tasks," arXiv preprint arXiv:1609.02781,
- Machine Learning