Service Humanoid Robotics: Review and Design of a Novel Bionic-Companionship Framework

Jiaji Yang*, Esyin Chew, Pengcheng Liu

*Corresponding author for this work

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

1 Citation (Scopus)
3 Downloads (Pure)

Abstract

At present, industrial robotics focused more on motion control and vision; whereas Humanoid Service Robotics (HSRs) are increasingly being investigated among researchers’ and practitioners’ field of speech interactions. The problematic and quality of human-robot interaction (HRI) has become one of the hot potatoes concerned in academia. This paper proposes a novel interactive framework suitable for HSRs. The proposed framework is grounded on the novel integration of Trevarthen [24 Companionship Theory and neural image generation algorithm in computer vision. By integrating the image-to-natural interactivities generation, and communicate with the environment to better interact with the stakeholder, thereby changing from interaction to a bionic-companionship. In addition, the article also reviews the research of neural image generation algorithms and summarizes the application cases of the algorithm structure in the field of robotics from a critical perspective. We believe that the new interactive bionic-companionship framework can enable HSRs to further develop towards robot companions.

Original languageEnglish
Title of host publicationRiTA 2020 - Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications
EditorsEsyin Chew, Anwar P. P. Abdul Majeed, Pengcheng Liu, Jon Platts, Hyun Myung, Junmo Kim, Jong-Hwan Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages185-194
Number of pages10
ISBN (Print)9789811648021
DOIs
Publication statusPublished - 5 Aug 2021
Event8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020 - Virtual, Online
Duration: 11 Dec 202013 Dec 2020

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020
CityVirtual, Online
Period11/12/2013/12/20

Keywords

  • Human-robot interaction
  • Humanoid robotics
  • Social robotics

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