Biped Robot Gait Generation Using Recurrent Neural Networks Optimized Through A Multi-objective Optimization Algorithm
碩士 === 國立中興大學 === 電機工程學系所 === 107 === The thesis uses a fully connected neural network (FCRNN) as a kernel controller to control the forward walking gait of a biped robot, the NAO, through the multi-objective modified continuous ant colony optimization (MO-MCACO) algorithm. We control the five joint...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/e8ppff |