Autonomous robots facing a diversity of open environments and performing a variety of tasks
and interactions need explicit deliberation in order to fulfill their missions. Deliberation is …

Planning is motivated by acting. Most of the existing work on automated planning
underestimates the reasoning and deliberation needed for acting; it is instead biased …

An argument that qualitative representations—symbolic representations that carve
continuous phenomena into meaningful units—are central to human cognition. In this book …

This paper presents an artificial cognitive system tightly integrating object perception and
manipulation for assistive robotics. This is necessary for assistive robots, not only to perform …

Reinforcement learning is generally accepted to be an appropriate and successful method
to learn robot control. Symbolic action planning is useful to resolve causal dependencies …

This paper addresses the problem of active object learning by a humanoid child-like robot,
using a developmental approach. We propose a cognitive architecture where the visual …

Abstract 3D object detection and recognition is increasingly used for manipulation and
navigation tasks in service robots. It involves segmenting the objects present in a scene …

This paper describes a 3D object perception and perceptual learning system developed for
a complex artificial cognitive agent working in a restaurant scenario. This system, developed …

A world model representing the elements in a robot's environment needs to maintain a
correspondence between the objects being observed and their internal representations …

Just as humans behave according to the social norms of their groups, autonomous systems
that become part of these groups also need to behave in socially-expected and accepted …