posted on 2021-11-08, 16:21authored byJiaji Yang, Esyin Chew, Pengcheng Liu
At present, industrial robotics focused more on motion control and vision; whereas Humanoid Service Robotics (HSRs) are increasingly being investigated among researchers’ and practitioners’ field of speech interactions. The problematic and quality of human-robot interaction (HRI) has become one of the hot potatoes concerned in academia. This paper proposes a novel interactive framework suitable for HSRs. The proposed framework is grounded on the novel integration of Trevarthen [24 Companionship Theory and neural image generation algorithm in computer vision. By integrating the image-to-natural interactivities generation, and communicate with the environment to better interact with the stakeholder, thereby changing from interaction to a bionic-companionship. In addition, the article also reviews the research of neural image generation algorithms and summarizes the application cases of the algorithm structure in the field of robotics from a critical perspective. We believe that the new interactive bionic-companionship framework can enable HSRs to further develop towards robot companions.
History
Presented at
RiTA 2020
Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications
RiTA 2020. Lecture Notes in Mechanical Engineering
Publisher
Springer
Acceptance Date
2020-11-20
Publication Date
2021-08-05
Version
AM (Accepted Manuscript)
Citation
Yang J., Chew E., Liu P. (2021) Service Humanoid Robotics: Review and Design of a Novel Bionic-Companionship Framework. In: Chew E. et al. (eds) RiTA 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4803-8_20