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Achieving Robotically Peeled Lettuce
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
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. © 2016 IEEE.
- Subjects :
- Vacuum system design
0209 industrial biotechnology
Control and Optimization
Service robots
Computer science
Robotic technologies
Sea ice
Biomedical Engineering
computer vision for automation
02 engineering and technology
Image color analysis
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Orientation estimation
Force
Iceberg lettuce
Pipelines
Manipulation task
business.industry
Orientation (computer vision)
Mechanical Engineering
020208 electrical & electronic engineering
Agriculture
Robotics
Pipeline (software)
End effectors
Computer Science Applications
Human-Computer Interaction
Pipeline transport
Control and Systems Engineering
Machine design
Agricultural automation
Computer Vision and Pattern Recognition
Artificial intelligence
grippers and other end-effectors
business
Estimation
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....ffb4cd1fa94f8adf14860420be11975d