Bioinspiration in Affective Motion Planning of an Anthropomorphic Robot for Affect-Based Human-Robot Collaborative Manufacturing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Affect-based robot-human communication is a nonverbal communication method that can help the robot communicate its mental states to the collaborating human during human-robot collaborative manufacturing. Such communication can make the manufacturing situations (events) transparent to the human and also impact the cognitive abilities of the human. All these may impact the overall manufacturing performance positively. In this paper, an anthropomorphic robot with affect display ability is used to collaborate with its human partner so that they can collaboratively assemble several parts to manufacture a finished product. Firstly, in order to receive bioinspiration, the affective features in a similar human-human collaborative assembly task are investigated. Secondly, based on the human's affective features, the affect dynamics (the computational model of affect) for the robot is derived for the collaborative assembly task. Thirdly, based on the affect model, an affect-based intelligent motion planning strategy for the robot is developed so that the robot can dynamically adjust its affective states like a human with changes in the assembly task situations during the human-robot collaborative assembly task to make the assembly situations transparent to the human. Finally, the potential impacts of the proposed bio-inspired dynamic affect-based robot motion planning on human-robot interaction and manufacturing performance are discussed.

Original languageEnglish (US)
Title of host publication2019 IEEE SoutheastCon, SoutheastCon 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728101378
DOIs
StatePublished - Apr 2019
Event2019 IEEE SoutheastCon, SoutheastCon 2019 - Huntsville, United States
Duration: Apr 11 2019Apr 14 2019

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
Volume2019-April
ISSN (Print)0734-7502

Conference

Conference2019 IEEE SoutheastCon, SoutheastCon 2019
Country/TerritoryUnited States
CityHuntsville
Period4/11/194/14/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

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