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Human‐robot collaboration for improved target recognition of agricultural robots

Avital Bechar (Department of Industrial Engineering and Manufacturing, Ben Gurion University of the Negev, Beer Sheva, 84105, Israel. Tel: +972 8 647 2232; Fax: +972 8 647 2958; E‐mail: yael@bgumail.bgu.ac.il)
Yael Edan (Department of Industrial Engineering and Manufacturing, Ben Gurion University of the Negev, Beer Sheva, 84105, Israel. Tel: +972 8 647 2232; Fax: +972 8 647 2958; E‐mail: yael@bgumail.bgu.ac.il)

Industrial Robot

ISSN: 0143-991x

Article publication date: 1 October 2003

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Abstract

Automatic target recognition in agricultural harvesting robots is characterized by low detection rates and high false alarm rates due to the unstructured nature of both the environment and the objects. To improve detection human‐robot collaboration levels were defined and implemented. The collaboration level is defined as the level of system autonomy or the level at which the human operator (HO) interacts with the system. Experimental results on images taken in the field indicate that collaboration of HO and robot increases detection and reduces the time required for detection.

Keywords

Citation

Bechar, A. and Edan, Y. (2003), "Human‐robot collaboration for improved target recognition of agricultural robots", Industrial Robot, Vol. 30 No. 5, pp. 432-436. https://doi.org/10.1108/01439910310492194

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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