Smart And Cost-Effective Manipulator's End-Effector For Tomato Harvesting
| Autor: | Francisco Adrião Silva Oliveira |
|---|---|
| Přispěvatelé: | Santos, Filipe Baptista Neves dos, Magalhães, Sandro Augusto Costa, Tinoco, Vítor Daniel Veloso, Faculdade de Engenharia |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Machine Learning
Electrical engineering Electronic engineering Information engineering Engenharia electrotécnica electrónica e informática Engenharia electrotécnica electrónica e informática [Ciências da engenharia e tecnologias] Robotics Agricultural Robotics Electrical engineering Electronic engineering Information engineering [Engineering and technology] |
| DOI: | 10.5281/zenodo.6927362 |
| Popis: | There has been an increase in the variety of harvesting manipulators developed. However, sometimes the lack of efficiency of these manipulators, when compared with harvesting tasks performed by humans, makes it difficult to be used as a solution to the lack of labour available or as a tool to help with repetitive tasks. One of the key components of these manipulators is the end-effector, responsible for picking the fruits from the plant. This dissertation studies the design and making of an end-effector capable of harvesting tomato to be included on a custom Selective Compliance Assembly Robot Arm (SCARA) manipulator. To achieve the objective of developing the end-effector, this dissertation work contributes with: A systematic review about end-effectors already available. An open source design for an end-effector called FruitGrip. Test and validation of the tool on doing harvesting tasks in a laboratory with an artifical environment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|