Deep level situation understanding and its application to casual communication between robots and humans

Yongkang Tang, Fangyan Dong, Mina Yuhki, Yoichi Yamazaki, Takanori Shibata, Kaoru Hirota

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gesture/posture recognition, facial expression recognition, and speech/voice recognition), emotion understanding, intention understanding, and atmosphere understanding by applying customised knowledge of each agent and by taking considerations to careful attentions. It aims to not impose burden on humans in human-machine communication, to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally to create a peaceful, happy, and prosperous humans-robots society. A scenario is established to demonstrate several communication activities between a businessman and a secretary-robot/a human-boss/a waitress-robot/a human-partner/a therapy-robot (PARO) in one day.

Original languageEnglish
Title of host publicationICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics
Pages292-299
Number of pages8
Publication statusPublished - 2013
Externally publishedYes
Event10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013 - Reykjavik, Iceland
Duration: 29 Jul 201331 Jul 2013

Publication series

NameICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics
Volume2

Conference

Conference10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013
Country/TerritoryIceland
CityReykjavik
Period29/07/1331/07/13

Keywords

  • Agent
  • Emotion Understanding
  • Human Robot Interaction
  • PARO

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