Collision detection for cobots: A new effective algorithm

Van Hung Nghiem; Subrata Chowdhury

doi:10.15625/1813-9663/21613

Collision detection for cobots: A new effective algorithm

Van Hung Nghiem, Subrata Chowdhury

Author affiliations

Authors

Van Hung Nghiem University of Technology - Logistics of Public Security (UTLPS), 4 Lac Long Quan Street, Thuan Thanh Town, Bac Ninh Province, Viet Nam
Subrata Chowdhury Dept. of Computer Science and Engineering, Sreenivasa Institute of Technology and Management Studies(A), Chittoor, Andhra Pradesh, India

DOI:

https://doi.org/10.15625/1813-9663/21613

Keywords:

Collision detection, cobot, 6-DoF.

Abstract

Collaborative robots (Cobots) can interact with humans, simultaneously promoting the advantages of both humans and robots to increase work efficiency. Cobots operate friendly and interact with humans because they are programmed to detect collisions safely. Therefore, the requirement to accurately and quickly detect collisions of cobot arms is a topic that attracts the attention of many researchers. This paper proposes an approach applying a supervised machine learning technique, SVR (Support Vector Regression), to detect collisions with CURA6 robot arms. A real-world experiment (the Intema dataset) was used to validate the proposed method.

Metrics

PDF views

Downloads

Published

28-03-2025

How to Cite

[1]

V. H. Nghiem and Subrata Chowdhury, “Collision detection for cobots: A new effective algorithm”, J. Comput. Sci. Cybern., no. 1, Mar. 2025.

Download Citation

Issue

Online First

Section

Articles

License

1. We hereby assign copyright of our article (the Work) in all forms of media, whether now known or hereafter developed, to the Journal of Computer Science and Cybernetics. We understand that the Journal of Computer Science and Cybernetics will act on my/our behalf to publish, reproduce, distribute and transmit the Work.
2. This assignment of copyright to the Journal of Computer Science and Cybernetics is done so on the understanding that permission from the Journal of Computer Science and Cybernetics is not required for me/us to reproduce, republish or distribute copies of the Work in whole or in part. We will ensure that all such copies carry a notice of copyright ownership and reference to the original journal publication.
3. We warrant that the Work is our results and has not been published before in its current or a substantially similar form and is not under consideration for another publication, does not contain any unlawful statements and does not infringe any existing copyright.
4. We also warrant that We have obtained the necessary permission from the copyright holder/s to reproduce in the article any materials including tables, diagrams or photographs not owned by me/us.