A Survey of Research on Cloud Robotics and Automation

University of California, Berkeley

Indexed incrossref

Abstract

The Cloud infrastructure and its extensive set of Internet-accessible resources has potential to provide significant benefits to robots and automation systems. We consider robots and automation systems that rely on data or code from a network to support their operation, i.e., where not all sensing, computation, and memory is integrated into a standalone system. This survey is organized around four potential benefits of the Cloud: 1) Big Data: access to libraries of images, maps, trajectories, and descriptive data; 2) Cloud Computing: access to parallel grid computing on demand for statistical analysis, learning, and motion planning; 3) Collective Robot Learning: robots sharing trajectories, control policies,…

Citation impact

826
total citations
FWCI
94.40
Percentile
100%
References
146
Citations per year

Authors

4

Topics & keywords

Keywords
  • Robotics
  • Automation
  • Cloud computing
  • Artificial intelligence
  • Robot
  • Computer science
  • Engineering
  • Manufacturing engineering
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
No related works found for this paper.

Funding