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Survey of imitation learning for robotic manipulation

International Journal of Intelligent Robotics and Applications, ISSN: 2366-598X, Vol: 3, Issue: 4, Page: 362-369
2019
  • 116
    Citations
  • 0
    Usage
  • 135
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    116
    • Citation Indexes
      116
  • Captures
    135

Article Description

With the development of robotics, the application of robots has gradually evolved from industrial scenes to more intelligent service scenarios. For multitasking operations of robots in complex and uncertain environments, the traditional manual coding method is not only cumbersome but also unable to adapt to sudden changes in the environment. Imitation learning that avoids learning skills from scratch by using the expert demonstration has become the most effective way for robotic manipulation. The paper is intended to provide the survey of imitation learning of robotic manipulation and explore the future research trend. The review of the art of imitation learning for robotic manipulation involves three aspects that are demonstration, representation and learning algorithms. Towards the end of the paper, we highlight areas of future research potential.

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