Feedback Information Expression and Fusion Method for Human-Robot Interaction

  • Authors:

  • Qijie Zhao;Dawei Tu;Jianxia Lu;Zhihua Huang

  • Affiliations:

  • School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072;School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072;School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072;School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
  • Year:
  • 2008

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Abstract

On the basis of analyzing the information fusion method for human-robot interaction, a kind of information feedback structure for human---robot interaction platform has been provided, the source feedback information is handled with multi-layer processed structure, and the processed multi-mode information is integrated with certain interactive rules and knowledge in interaction knowledge database. A set of feedback information expression and fusion method has been presented in information integration process, the abstract information from feedback multimodality is expressed by the situation of task execution process and the stability of feedback modality, and then these information is fused in light of the result of task execution, at last, the fusion result is delivered to user by the most stable feedback modality. Some experiments have been done with the provided methods in the human---robot interaction system, and parts of the experiment results show that user's cognition loads can be decreased by this semantic information fusion and feedback method, moreover, high work efficiency also can be gotten in human-robot interaction.