Design of Deep Learning-based Visually Guided Picking Control of Omnidirectional Mobile Manipulators
碩士 === 淡江大學 === 電機工程學系碩士班 === 106 === This thesis presents a novel neural network design for the application of visual guidance and picking control of an omnidirectional mobile manipulator platform through deep learning. In the experimental setting, a stereo camera was used to capture the front area...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/c54669 |