— Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Personal robots for human entertainment form a new class of computer-based entertainment that is beginning to become commercially and computationally practical. We expect a princi...
Visual search is a common daily human activity and a prerequisite to the interaction with objects encountered in cluttered environments. Humanoid robots that are supposed to take p...
Engineers have long used control systems utilizing models and feedback loops to control realworld systems. Limitations of model-based control led to a generation of intelligent co...
Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratana...