ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2020, Vol. 57 ›› Issue (9): 1854-1863.doi: 10.7544/issn1000-1239.2020.20200254

Special Issue: 2020边缘计算专题

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Robot 4.0: Continual Learning and Spatial-Temporal Intelligence Through Edge

Wang Zhigang1, Wang Haitao2, She Qi1, Shi Xuesong1, Zhang Yimin1   

  1. 1(Intel Labs China, Beijing 100080);2(Intel Asia Pacific Research and Development Co., Ltd., Shanghai 200241)
  • Online:2020-09-01

Abstract: With the expansion of the global robot market, robotics is moving from the robot 3.0 era to the robot 4.0 era. In robot 4.0 era, robots should not only have the capability of perception and collaboration, but also have the capability of understanding the environment and making decisions by themselves just like human being. Then they can provide service to people autonomously. Although there have been many breakthroughs in deep learning, it is still a very challenging goal to make robots understand environment and make decisions like humans being. This paper explores three key technologies that are expected to solve these problems: continual learning, spatial-temporal intelligence, and edge computing. Continual learning enables robots to migrate the knowledge of old tasks to the knowledge of new tasks quickly without catastrophic forgotten problems; spatial-temporal intelligence enables robots to establish a bottom-up knowledge representation of the environment and to share and solve problems at different levels. Through edge computing, robots can get more cost-effective computation resource and integrate a variety of intelligence and knowledge easily. It is very useful for the large-scale deployment. These technologies are on the rise, and this paper is just a preliminary analysis.

Key words: robot, robot 4.0, continual learning, spatial-temporal intelligence, edge computing

CLC Number: