Cloud-assisted humanoid robotics for affective interaction
Yujun Ma, Yixue Hao, Yongfeng Qian, Min Chen
- Year
- 2016
- Citations
- 5
Abstract
In recent years, the humanoid robot is received great attention, and gradually develop to households and personal service field. The prominent progress of cloud computing, big data, and machine learning fields provides a strong support for the research of the robot. With affective interaction ability of robot has a broad market space and research value. In this paper, we propose a cloud-assisted humanoid robotics for affective interaction system architecture, and introduce the essential composition, design and implementation of related components. Finally, through an actual robot emotional interaction test platform, validating the feasibility and extendibility of proposed architecture.
Keywords
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