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 …

We present a comprehensive survey of robot Learning from Demonstration (LfD), a
technique that develops policies from example state to action mappings. We introduce the …

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 …

Also referred to as learning by imitation, tutelage, or apprenticeship learning, Programming
by Demonstration (PbD) develops methods by which new skills can be transmitted to a …

The experience of inner speech is a common one. Such a dialogue accompanies the
introspection of mental life and fulfills essential roles in human behavior, such as self …

Human activitiy recognition deals with the integration of sensing and reasoning aiming to
understand better people's actions. Moreover, it plays an important role in human …

Trust is a critical issue in human-robot interactions (HRI) as it is the core of human desire to
accept and use a non-human agent. Theory of Mind (ToM) has been defined as the ability to …

Recent advances in the field of humanoid robotics increase the complexity of the tasks that
such robots can perform. This makes it increasingly difficult and inconvenient to program …

The paper presents the new concept on human–systems inclusion for designing, analyzing
or evaluating human–machine systems and applied it to two case studies on rail flow …

Abstract Learning from Demonstration (LfD) approaches empower end-users to teach robots
novel tasks via demonstrations of the desired behaviors, democratizing access to robotics …