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 …

This paper addresses the problems of what to imitate and how to imitate in simple uni and bi-
manual manipulatory tasks. To solve the what to imitate issue, we use a probabilistic …

From earliest infancy, a typically developing child imitates or mirrors the facial expressions,
postures and gestures, and emotional behavior of others. Where does this capacity come …

This chapter reviews several approaches to the problem of learning by imitation in robotics.
We start by describing several cognitive processes identified in the literature as necessary …

Despite tremendous advances in artificial language synthesis, no machine has so far
succeeded in deceiving a human. Most research focused on analyzing the behavior of …

This paper addresses the problem of body mapping in robotic imitation where the
demonstrator and imitator may not share the same embodiment [degrees of freedom (DOFs) …

Imitation in artificial systems involves a number of important aspects, such as extracting the
relevant features of the demonstrated behaviour, inverse mapping observations, and …

There are two functional elements used by humans to understand and perform actions.
These elements are: the body schema and the body percept. The first one is a …

This paper addresses the problem of body mapping in robotic imitation where the
demonstrator and imitator may not share the same embodiment (degrees of freedom …

Fundamental to the successful, autonomous operation of mobile robots are robust motion
control algorithms. Motion control algorithms determine an appropriate action to take based …