面向服务机器人的学习情感识别与响应生成

IF 0.9 Q4 ROBOTICS

Journal of Robotics and Mechatronics Pub Date : 2019-10-28 DOI:10.1007/978-3-030-30036-4_26

Jhih-Yuan Huang, Wei-Po Lee, Bu-Wei Dong

引用次数: 3

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Learning Emotion Recognition and Response Generation for a Service Robot

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来源期刊

Journal of Robotics and Mechatronics ROBOTICS-

CiteScore

2.20

自引率

36.40%

发文量

134

期刊介绍： First published in 1989, the Journal of Robotics and Mechatronics (JRM) has the longest publication history in the world in this field, publishing a total of over 2,000 works exclusively on robotics and mechatronics from the first number. The Journal publishes academic papers, development reports, reviews, letters, notes, and discussions. The JRM is a peer-reviewed journal in fields such as robotics, mechatronics, automation, and system integration. Its editorial board includes wellestablished researchers and engineers in the field from the world over. The scope of the journal includes any and all topics on robotics and mechatronics. As a key technology in robotics and mechatronics, it includes actuator design, motion control, sensor design, sensor fusion, sensor networks, robot vision, audition, mechanism design, robot kinematics and dynamics, mobile robot, path planning, navigation, SLAM, robot hand, manipulator, nano/micro robot, humanoid, service and home robots, universal design, middleware, human-robot interaction, human interface, networked robotics, telerobotics, ubiquitous robot, learning, and intelligence. The scope also includes applications of robotics and automation, and system integrations in the fields of manufacturing, construction, underwater, space, agriculture, sustainability, energy conservation, ecology, rescue, hazardous environments, safety and security, dependability, medical, and welfare.