Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …

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 …

Robot PbD started about 30 years ago, growing importantly during the past decade. The
rationale for moving from purely preprogrammed robots to very flexible user-based …

In this paper we describe an approach for on-line, incremental learning of full body motion
primitives from observation of human motion. The continuous observation sequence is first …

This chapter reviews the critical societal issues that have motivated research into socially
assistive robotics (SAR)(Sect. 73.2) and describes the reason why physical robots rather …

This paper describes a novel approach for autonomous and incremental learning of motion
pattern primitives by observation of human motion. Human motion patterns are abstracted …

Human–Robot Collaboration (HRC) is an interdisciplinary research area that has gained
attention within the smart manufacturing context. To address changes within manufacturing …

Recent studies in human-robot interaction (HRI) have investigated ways to harness the
power of the crowd for the purpose of creating robot interaction logic through games and …

Robots are poised to fill a growing number of roles in today's society, from factory
automation to service applications to medical care and entertainment. While robots were …

In this paper we present a new robot control and learning system that allows a humanoid
robot to extend its movement repertoire by learning from a human tutor. The focus is learning …