文献类型：期刊文献

英文题名：From toy-like to intelligent: ARM-based cloud-injected AI companion robot

作者：Zhang, Yonggang[1]; Tan, Xiao[2]; Qu, Xilong[3]

第一作者：张永刚

机构：[1] Department of Science, Gansu University of Chinese Medicine, Lanzhou, 743000, China; [2] School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, 410205, China; [3] School of Information Science and Engneering, Changsha Normal University, Changsha, 410100, China

第一机构：甘肃中医药大学

通信机构：[2]School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, 410205, China

年份：2024

卷号：24

期号：7

起止页码：17

外文期刊名：International Journal of Information and Communication Technology

收录：EI(收录号：20242516281007);Scopus(收录号：2-s2.0-85196184990)

语种：英文

外文关键词：Embedded systems - Intelligent robots - Speech recognition

摘要：Our research in child companion robotics is evolving from simple toys to intelligent, ARM-based, cloud-connected AI companions. Historically, these robots have been limited by predefined interactions and speech recognition capabilities. Our innovation lies in the implementation of advanced transformer models, which have reduced word error rates by 12% compared to other models. Overcoming challenges posed by resource constraints, we optimised these models for ARM architecture, ensuring high performance in embedded systems. Furthermore, integrating cloud-injected AI enhances our robots’ intelligence by providing access to real-time data, thus enriching conversations and adaptability. This integration, coupled with advancements in speech recognition, represents a significant leap towards interactive companions capable of engaging meaningfully with children. Our research marks the onset of a new era in child companion robotics, demonstrating the transformative potential of ARM-based, cloud-injected AI systems. ? 2024 Inderscience Publishers. All rights reserved.