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Service humanoid robotics: a novel interactive system based on bionic-companionship framework.

Jiaji Yang1, Esyin Chew1, Pengcheng Liu2

  • 1Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Cardiff, United Kingdom.

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Summary
This summary is machine-generated.

Humanoid service robots (HSRs) struggle with social interaction. This study introduces a new framework integrating companionship theory and image captioning for improved human-robot interaction (HRI) and bionic companionship.

Keywords:
Human-robot interactionHumanoid roboticsSocial robotics

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Industrial robotics prioritizes motion and vision, while Humanoid Service Robots (HSRs) increasingly focus on speech interaction.
  • Current Human-Robot Interaction (HRI) models are often ill-suited for complex social environments like hospitality.
  • HSRs frequently lack the ability to accurately recognize human intentions and understand social contexts.

Purpose of the Study:

  • To propose a novel interactive framework for HSRs to enhance social interaction capabilities.
  • To bridge the gap between current HRI limitations and the demands of social environments.
  • To develop a system enabling HSRs to transition from basic interaction to bionic companionship.

Main Methods:

  • Integration of Trevarthen's companionship theory with a neural image captioning (NIC) algorithm.
  • Development of an image-to-natural interactivity generation system for environmental communication.
  • Implementation of a novel interactive system based on the bionic-companionship framework.

Main Results:

  • The developed interactive system enables HSRs to respond effectively to environmental changes.
  • Preliminary tests demonstrated the system's ability to adapt responses based on context.
  • The framework facilitates nuanced interactions, such as varying responses to the same individual in different scenes.

Conclusions:

  • The bionic-companionship framework offers a promising approach to improve HSR social interaction.
  • This novel system enhances the adaptability and contextual awareness of humanoid service robots.
  • The research contributes to advancing HRI in complex social settings, particularly in service industries.