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Machine Learning Sequential Methodology for Robot Inverse Kinematic Modelling

The application of robots is growing in most countries, occupying a relevant place in everyday environments. Robots are still affected by errors due to their limitations, which may compromise the final performance. Accurate trajectories and positionings are strict requirements that robots have to sa...

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書誌詳細
主要な著者: Franco Luis Tagliani, Nicola Pellegrini, Francesco Aggogeri
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2022-09-01
シリーズ:Applied Sciences
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オンライン・アクセス:https://www.mdpi.com/2076-3417/12/19/9417
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