We present a framework that allows a robot manipulator to learn how to execute structured
tasks from human demonstrations. The proposed system combines physical human–robot …

Shared autonomy aims at combining robotic and human control in the execution of remote,
teleoperated tasks. This cooperative interaction cannot be brought about without the robot …

By extending integrated competition hypothesis, this paper presents an object-based visual
attention model, which selects one object of interest using low-dimensional features …

During the last few decades, as a part of effort to enhance natural human robot interaction
(HRI), considerable research has been carried out to develop human-like gaze control …

We present a framework for robotic cognitive control endowed with adaptive mechanisms for
attentional regulation and task execution. In cognitive psychology, cognitive control is the …

Saliency detection has been an attractive topic in recent years. The reliable detection of
saliency can help a lot of useful processing without prior knowledge about the scene, such …

Bottom-up visual attention is an automatic behavior to guide visual perception to a
conspicuous object in a scene. This paper develops a new object-based bottom-up attention …

When demonstrating objects to young children, parents use specialized action features,
called “motionese,” which elicit attention and facilitate imitation. We hypothesized that the …

When a humanoid robot moves in a dynamic environment, a simple process of planning and
following a path may not guarantee competent performance for dynamic obstacle avoidance …

This chapter describes the use of visual attention characteristics as a biometric for
authentication or identification of individual viewers. The visual attention characteristics of a …