• DocumentCode
    265383
  • Title

    Integration of work operation and embodied multimodal interaction in task modeling for collaborative robot development

  • Author

    Tan, Jeffrey Too Chuan ; Okuno, Kiyoshi ; Inamura, Tetsunari

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    615
  • Lastpage
    618
  • Abstract
    In a collaborative robot development, the robot is required to understand both the content of the work operation, and the current condition of the working environment and the progress of the human, in order to provide exact assistance in the correct timing. This work aims to integrate together both robot knowledge in work operation and embodied multimodal interaction for collaborative robot development. A task modeling approach is proposed to build a hierarchical task model of the entire work operation and grounding with the actual condition (“state”) of the objects and environment, and the action (“transition”) of work in the embodied dimension. The system is implemented in a simulation environment with human interaction in both structured (collaborative cooking task) and unstructured (clean up task) operations.
  • Keywords
    assisted living; human-robot interaction; humanoid robots; assistance; clean up task; collaborative cooking task; collaborative robot development; embodied multimodal interaction; hierarchical task model; human interaction; human progress; robot knowledge; task modeling approach; unstructured operations; work operation; working environment; Collaboration; Grounding; Human-robot interaction; Robot control; Robot sensing systems; Service robots; collaborative robot; embodied multimodal interaction; human-robot interaction; task modeling; work operation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917534
  • Filename
    6917534