We present integration mechanisms for combining heterogeneous components in a situated
information processing system, illustrated by a cognitive robot able to collaborate with a …

We present a new method capable of learning multiple categories in an interactive and life-
long learning fashion to approach the “stability–plasticity dilemma”. The problem of …

The CoSy Architecture Schema Toolkit (CAST) is a new software toolkit, and related
processing paradigm, which supports the construction and exploration of information …

Operating in a physical context, an intelligent robot faces two fundamental problems. First, it
needs to combine information from its different sensors to form a representation of the …

Naming is a powerful cognitive tool that facilitates categorization by forming an association
between words and their referents. There is evidence in child development literature that …

Robots acting in complex environments need not only be aware of objects, but also of the
relationships objects have with each other. This paper suggests a conceptualization of these …

In this paper we present a toolkit for implementing architectures for intelligent robotic
systems. This toolkit is based on an architecture schema (a set of architecture design rules) …

We present an integrated vision architecture capable of incrementally learning several
visual categories based on natural hand-held objects. Additionally we focus on interactive …

Motivated by the need to support language-based communication between robots and their
human users, as well as grounded symbolic reasoning, this paper presents a learning …

To interact naturally with humans, robots need to be aware of their own surroundings. This
awareness is usually encoded in some implicit or explicit representation of the situated …