posted on 2021-11-08, 14:16authored byJiaji Yang, Esyin Chew, Pengcheng Liu
At present, industrial robotics focuses more on motion control and vision, whereas
humanoid service robotics (HSRs) are increasingly being investigated and researched
in the field of speech interaction. The problem and quality of human-robot
interaction (HRI) has become a widely debated topic in academia. Especially when
HSRs are applied in the hospitality industry, some researchers believe that the
current HRI model is not well adapted to the complex social environment. HSRs
generally lack the ability to accurately recognize human intentions and understand
social scenarios. This study proposes a novel interactive framework suitable for
HSRs. The proposed framework is grounded on the novel integration of Trevarthen’s
(2001) companionship theory and neural image captioning (NIC) generation
algorithm. By integrating image-to-natural interactivity generation and
communicating with the environment to better interact with the stakeholder, thereby
changing from interaction to a bionic-companionship. Compared to previous
research a novel interactive system is developed based on the bionic-companionship
framework. The humanoid service robot was integrated with the system to
conduct preliminary tests. The results show that the interactive system based on the
bionic-companionship framework can help the service humanoid robot to effectively
respond to changes in the interactive environment, for example give different
responses to the same character in different scenes.
Yang, J., Chew, E., Liu, P. (2021) 'Service humanoid robotics: a novel interactive system based on bionic-companionship framework', PeerJ Computer Science 7:e674 https://doi.org/10.7717/peerj-cs.674