Deep reinforcement learning applied to a robotic pick-and-place application
Industrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To i...
Main Author: | |
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Other Authors: | , , |
Format: | conferenceObject |
Language: | eng |
Published: |
2022
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Subjects: | |
Online Access: | http://hdl.handle.net/10198/25357 |
Country: | Portugal |
Oai: | oai:bibliotecadigital.ipb.pt:10198/25357 |