The ability to learn about and efficiently use tools constitutes a desirable property for general
purpose humanoid robots, as it allows them to extend their capabilities beyond the …

We introduce a framework that enables an agent to autonomously learn its own symbolic
representation of a low-level, continuous environment. Propositional symbols are formalized …

Prospection lies at the core of cognition: it is the means by which an agent–a person or a
cognitive robot–shifts its perspective from immediate sensory experience to anticipate future …

Autonomous robots that are intended to work in disaster scenarios like collapsed or
contaminated buildings need to be able to efficiently identify action possibilities in unknown …

Humans, but also robots, learn to improve their behavior. Without existing knowledge,
learning either needs to be explorative and, thus, slow or-to be more efficient-it needs to rely …

This paper presents a framework that enables a robot to discover various object categories
through interaction. The categories are described using action-effect relations, ie …

Humanoid robots that have to operate in cluttered and unstructured environments, such as
man-made and natural disaster scenarios, require sophisticated sensorimotor capabilities. A …

A robot is expected to carry out a task autonomously with its own knowledge system. Using
the knowledge system, the robot can recognize current situation and recall a proper …

The investigations of this paper are motivated by the scenario of a supervised semi-
autonomous humanoid robot entering a mainly unknown, potentially degraded human …

The outcome of many complex manipulation actions is contingent on the spatial
relationships among pairs of objects, eg if an object is “inside” or “on top” of another …