Recent Advances in Robot Learning from Demonstration

In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in which robots acquire new skills by learning to imitate an expert. The choice of LfD over other robot learning methods is compelling when ideal behavior can be neither easily scripted (as is done in traditional robot programming) nor easily defined as an optimization problem, but can be demonstrated. While there have been multiple surveys of this field in the past, there is a need for a new one given the considerable growth in the number of publications in recent years. This review aims to provide an overview of the collection of machine-learning methods used to enable a robot to learn from and imitate a teacher. We…

• NS
  National Science Foundation
• NA
  National Aeronautics and Space Administration

  Award: W911NF-17-2-0181
• EC
  European Commission

  Awards: H2020-ICT, H2020, 643950
• H2
  Horizon 2020 Framework Programme

  Award: 643950
• OO
  Office of Naval Research

  Award: W911NF-17-2-0181
• DO
  Division of Information and Intelligent Systems
• AR
  Army Research Laboratory

  Awards: W911NF, W911NF-17-2-0181