Social signs processing in a cognitive architecture for an humanoid robot.

被引：4

作者：

Augello, Agnese ^{[1
]}

Cipolla, Emanuele ^{[1
]}

Infantino, Ignazio ^{[1
]}

Manfre, Adriano ^{[1
]}

Pilato, Giovanni ^{[1
]}

Vella, Filippo ^{[1
]}

机构：

[1] Natl Res Council Italy, ICAR, CNR, Inst High Performance Comp & Networking, Palermo, Italy

来源：

8TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES, BICA 2017 (EIGHTH ANNUAL MEETING OF THE BICA SOCIETY) | 2018年 / 123卷

关键词：

Cognitive Architecture; Recurrent Neural Networks; Actions Classification; Pepper Robot;

D O I：

10.1016/j.procs.2018.01.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior. (C) 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/) Peer-review under responsibility of the scientific committee of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures

引用

页码：63 / 68

页数：6

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