Control for and interaction with humanoid robots is often restrictive due to limitations of the
robot platform and the high dimensionality of controlling systems with many degrees of …

We present a method for humanoid robots to quickly learn new dynamic tasks from
observing others and from practice. Ways in which the robot can adapt to initial and also …

Learning without any prior knowledge in environments that contain large or continuous state
spaces is a daunting task. For robots that operate in the real world, learning must occur in a …

Autonomous agents make frequent use of knowledge in the form of categories--categories of
objects, human gestures, web pages, and so on. This paper describes a way for agents to …

The mission of the research presented in this thesis is to give computers the power to sense
and react to human activities. Without the ability to sense the surroundings and understand …

Since the field's inception, most research in machine learning has focused on the problem of
supervised induction from labeled training cases. If anything, this trend has been …

This dissertation addresses the problem of modularizing the capabilities of a humanoid
agent into skill level behaviors. Our approach to this problem is to derive the skill level …

Publisher Summary This chapter discusses movement recognition, and presents its
relationship to the general task of concept formation. It also presents OXBOW, a computer …

Skilled movement is an integral part of the human existence. This is exemplified in a range
of behaviors from concert violin performance, to picking up and drinking a glass of milk. A …

Résumé L'objectif de cette these est de proposer une approche générale de compréhension
de vidéo pour l'apprentissage et la reconnaisance d'événements, dans des applications du …