Generating Familiarity by Robot Behavior toward a Human Being.

Generating Interactive Robot Behavior: A Mathematical Approach

This paper describes a generalized mathematical approach to generate and organize robot behavior. For the example of a simulated robot which can perform a number of elementary behaviors we demonstrate how the internal behavioral state of the system can be influenced by external inputs. The inputs consist of keyword command strings given by an operator and of depth information determined by the ...

Are we being seduced by a robot?

Toward a Framework for Human-Robot Interaction

The goal of this article is to introduce the reader to the rich and vibrant field of robotics, in hopes of laying out an agenda for future research on human robot interaction. Robotics is a field in change; the meaning of the term “robot” today differs substantially from the term just a decade ago. The primary purpose of this article is to provide a comprehensive description of past and present...

Generating Training Environment to obtain a Generalized Robot Behavior by means of Classifier Systems

Classifier System are special production systems where conditions and actions are codified in order to learn new rules by means of Genetic Algorithms (GA). These systems combine the execution capabilities of symbolic systems and the learning capabilities of Genetic Algorithms. A Classifier System is able to learn symbolic rules that allow to react to new environmental situations. The capacity o...

Being Transparent about Transparency: A Model for Human-Robot Interaction

The current paper discusses the concept of human-robot interaction through the lens of a model depicting the key elements of robot-to-human and robot-of-human transparency. Robot-to-human factors represent information that the system (which includes the robot but is broader than just the robot) needs to present to users before, during, or after interactions. Robot-of-human variables are factors...