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End-to-end deep learning-based framework for path planning and collision checking: bin-picking application – ERRATUM

Published online by Cambridge University Press:  06 November 2024

Mehran Ghafarian Tamizi ,
Homayoun Honari ,
Aleksey Nozdryn-Plotnicki  and
Homayoun Najjaran
Mehran Ghafarian Tamizi
Affiliation:
University of Victoria, Victoria, BC, V8W 2Y2, Canada
Homayoun Honari
Affiliation:
University of Victoria, Victoria, BC, V8W 2Y2, Canada
Aleksey Nozdryn-Plotnicki
Affiliation:
Apera AI, Vancouver, BC, V6B 2K4, Canada
Homayoun Najjaran*
Affiliation:
University of Victoria, Victoria, BC, V8W 2Y2, Canada
*
Corresponding author: Homayoun Najjaran; Email: najjaran@uvic.ca
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Abstract

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Information

Type
Erratum
Information
Robotica , Volume 43 , Issue 2 , February 2025 , pp. 792
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

This paper cites the following (Reference n. 4): “Boscariol, P., Gasparetto, A. and Scalera, L., “Path Planning for Special Robotic Operations,” In: Robot Design: From Theory to Service Applications (Carbone, G. and Laribi, M. A., eds.) (Springer, Cham, 2022) pp. 69–95”.

However, the details of this reference should correctly be given as:

Boscariol, P., Gasparetto, A., Scalera, L. (2023). Path Planning for Special Robotic Operations. In: Carbone, G., Laribi, M.A. (eds) Robot Design. Mechanisms and Machine Science, vol. 123, pp. 69–95. Springer, Cham. https://doi.org/10.1007/978-3-031-11128-0_4.

References

Ghafarian Tamizi, M., Honari, H., Nozdryn-Plotnicki, A. and Najjaran, H. (2024) End-to-end deep learning-based framework for path planning and collision checking: bin-picking application, Robotica, 42(4): 1094–1112. doi: 10.1017/S0263574724000109 CrossRefGoogle Scholar