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

Jiaji Yang; Esyin Chew; Pengcheng Liu

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

Jiaji Yang, Esyin Chew, Pengcheng Liu

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 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 language	English
Title of host publication	8th International Conference on Robot Intelligence Technology and Applications (proceedings)
Publisher	IEEE
Publication status	Accepted/In press - 15 Nov 2020
Event	The 8th International Conference on Robot Intelligence Technology and Applications - Cardiff, Cardiff, United Kingdom Duration: 11 Dec 2020 → 13 Dec 2020

Conference

Conference	The 8th International Conference on Robot Intelligence Technology and Applications
Country/Territory	United Kingdom
City	Cardiff
Period	11/12/20 → 13/12/20

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Access to Document

Service Humanoid Robotics: Review and Design of A Novel Bionic-Companionship Framework
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Accepted author manuscript, 640 KB

Cite this

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title = "Service Humanoid Robotics: Review and Design of A Novel Bionic-Companionship Framework",

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 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.",

author = "Jiaji Yang and Esyin Chew and Pengcheng Liu",

note = "This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details. ; The 8th International Conference on Robot Intelligence Technology and Applications ; Conference date: 11-12-2020 Through 13-12-2020",

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T1 - Service Humanoid Robotics: Review and Design of A Novel Bionic-Companionship Framework

AU - Yang, Jiaji

AU - Chew, Esyin

AU - Liu, Pengcheng

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

PY - 2020/11/15

Y1 - 2020/11/15

N2 - 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 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.

AB - 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 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.

M3 - Conference contribution

BT - 8th International Conference on Robot Intelligence Technology and Applications (proceedings)

PB - IEEE

T2 - The 8th International Conference on Robot Intelligence Technology and Applications

Y2 - 11 December 2020 through 13 December 2020

ER -