Learning Algorithm Predicts Passive Joint Positioning for 3R Under-actuated Robot
This paper devoted for the implementation of a learning algorithm, utilized Artificial Neural Network (ANN), to predict the passive joint angular positioning for 3R under-actuated serial robot. Under-actuated system has less number of actuators than the degrees of freedom therefore, the estimating o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Online Access: | View Fulltext in Publisher |