A Robotic Writing Framework–Learning Human Aesthetic Preferences via Human–Machine Interactions

Intelligent robots are required to fully understand human intentions and operations in order to support or collaborate with humans to complete complicated tasks, which is typically implemented by employing human-machine interaction techniques. This paper proposes a new robotic learning framework to...

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Detalhes bibliográficos

Principais autores:	Xingen Gao, Changle Zhou, Fei Chao, Longzhi Yang, Chih-Min Lin, Changjing Shang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2019-01-01
coleção:	IEEE Access
Assuntos:	Human-machine interaction human preference neural networks robotic calligraphy robotic writing trajectory
Acesso em linha:	https://ieeexplore.ieee.org/document/8854069/
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