A deep learning framework for realistic robot motion generation

Humanoid robots are being developed to play the role of personal assistants. With the development of artificial intelligence technology, humanoid robots are expected to perform many human tasks, such as housework, human care, and even medical treatment. However, robots cannot currently move flexibly...

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Veröffentlicht in:	Neural computing & applications 2023-11, Vol.35 (32), p.23343-23356
Hauptverfasser:	Dong, Ran, Chang, Qiong, Ikuno, Soichiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Biomechanics Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Control methods Data Mining and Knowledge Discovery Deep learning Design Housework Human performance Humanoid Image Processing and Computer Vision Internet of Things Machine learning Methods Motion capture Neural networks Probability and Statistics in Computer Science Realism Robot arms Robot control Robot dynamics Robots Special issue on Human-in-the-loop Machine Learning and its Applications
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