This overview presents computational algorithms for generating 3D object grasps with
autonomous multi-fingered robotic hands. Robotic gras** has been an active research …

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 …

We propose a new tracking framework with an attentional mechanism that chooses a subset
of the associated correlation filters for increased robustness and computational efficiency …

A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …

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

In shared control teleoperation, the robot assists the user in accomplishing the desired task,
making teleoperation easier and more seamless. Rather than simply executing the user's …

Figure 59.1: Left: A robot learns how to make a chess move (namely moving the queen
forward) by generalizing across different demonstrations of the task performed in slightly …

This paper focuses on the role of emotion and expressive behavior in regulating social
interaction between humans and expressive anthropomorphic robots, either in …

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 …

Infants represent the acts of others and their own acts in commensurate terms. They can
recognize cross‐modal equivalences between acts they see others perform and their own …