Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...
We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent:...
Rodney A. Brooks, Cynthia Breazeal, Robert Irie, C...
Abstract—The development of human-robot interaction scenarios is a strongly situation-dependent as well as an extremely dynamic task. Humans interacting with the robot directly r...
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...