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Current Researches and Future Development Trend of Intelligent Robot: A Review

  • Tian-Miao Wang
  • Yong Tao
  • Hui Liu
Review

Abstract

With the advancing of industrialization and the advent of the information age, intelligent robots play an increasingly important role in intelligent manufacturing, intelligent transportation system, the Internet of things, medical health and intelligent services. Based on working experiences in and reviews on intelligent robot studies both in China and abroad, the authors summarized researches on key and leading technologies related to human-robot collaboration, driverless technology, emotion recognition, brain-computer interface, bionic software robot and cloud platform, big data network, etc. The development trend of intelligent robot was discussed, and reflections on and suggestions to intelligent robot development in China were proposed. The review is not only meant to overview leading technologies of intelligent robot all over the world, but also provide related theories, methods and technical guidance to the technological and industrial development of intelligent robot in China.

Keywords

Intelligent robot human-robot collaboration driverless technology emotion recognition brain-computer interface big data network 

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Notes

Acknowledgements

This work was supported by the Chinese MIIT Intelligent Manufacturing and New Mode Application “Application of new mode of intelligent manufacturing of Chinese medicine products”. The authors would like to extend heartfelt thanks to Jin-Chang Liu, a researcher from High Technology Research and Development Center, for his nice help and constructive suggestions. The authors′ gratitudes also go to other specialists in the robotic field who have made great contributions to this work, including Tian-Ran Wang, Ba Zhang, He-Gao Cai, Han Ding, Ning Xi, Ze-Xiang Li, Jie Zhao, Min Tan, Tian Huang, Qiang Huang, Li-Ning Sun, Yao-Nao Hou, Cheng-Liang Liu, Ya-Ping Jin, Jian-Da Han, Dao-Kui Qu, Fang Xu, Jing-Tai Liu, Zeng-Guang Hou, Cai-Hua Xiong, Yong-Chun Fang, Xing-Guan Duan, Dian-Sheng Chen, Rong Xiong, Yong- Sheng Ou, et al.

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Copyright information

© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Mechanical Engineering and AutomationBeihang UniversityBeijingChina
  2. 2.Beijing Advanced Innovation Center for Biomedical EngineeringBeihang UniversityBeijingChina

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