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 …

This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …

Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …

Regardless of how much data artificial intelligence agents have available, agents will
inevitably encounter previously unseen situations in real-world deployments. Reacting to …

Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …

The wide adoption of Machine Learning (ML) technologies has created a growing demand
for people who can train ML models. Some advocated the term" machine teacher''to refer to …

Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …

The human factors literature on intelligent systems was reviewed in relation to the following:
efficient human supervision of multiple robots, appropriate human trust in the automated …

Learning from Demonstration (LfD) explores techniques for learning a task policy from
examples provided by a human teacher. The field of LfD has grown into an extensive body …

This chapter surveys the main approaches developed to date to endow robots with the
ability to learn from human guidance. The field is best known as robot programming by …