Achieving Robotically Peeled Lettuce
View / Open Files
Publication Date
2018Journal Title
IEEE Robotics and Automation Letters
ISSN
2377-3766
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
3
Issue
4
Pages
4337-4342
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Hughes, J., Scimeca, L., Ifrim, I., Maiolino, P., & Iida, F. (2018). Achieving Robotically Peeled Lettuce. IEEE Robotics and Automation Letters, 3 (4), 4337-4342. https://doi.org/10.1109/LRA.2018.2855043
Abstract
Robotic technologies are being increasingly applied to agriculture, in particular to harvesting. Some types of produce such as iceberg lettuce require additional processing after harvesting in order to satisfy the needs of the end-user or customer. Lettuce must have its outer leaves removed, a task that is currently performed manually. The leaf removal task represents a challenging vision and manipulation problem: the lettuce is in a random pose on a flat surface, from which the outermost leaves must be removed quickly and without causing damage. This letter presents a novel vision pipeline and suction removal system that enables robotic lettuce leaf removal. A suction nozzle and control procedure are used for the removal itself, relying on the orientation estimation and stem detection provided by the vision pipeline. To the best of the author's knowledge, this is the first robotic lettuce leaf peeling system.
Keywords
Agricultural automation, computer vision for automation, grippers and other end-effectors
Sponsorship
Engineering and Physical Sciences Research Council (EP/L015889/1)
Identifiers
External DOI: https://doi.org/10.1109/LRA.2018.2855043
This record's URL: https://www.repository.cam.ac.uk/handle/1810/290084
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk