If robots are to succeed in novel tasks, they must be able to learn from humans. To improve
such human-robot interaction, a system is presented that provides dialog structure and …

The paper presents a systematic approach to robot control system design. The robot is
treated as an embodied agent decomposed into effectors, receptors, both real and virtual …

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

In this paper we present an approach that enables visually impaired people to explore
multivariate data through scatter plots. Our approach combines Tangible Active Objects …

In this paper we showcase an integrative approach for our actuated Tangible Active Objects
(TAOs), that demonstrates distributed collaboration support to become a versatile and …

As a testbed for real-world experimentation on HRI and dynamic interaction models, this
paper presents an autonomous robot system acting as guide in a German arts museum. The …

In order to learn and interact with humans, robots need to understand actions and make use
of language in social interactions. The use of language for the learning of actions has been …

The Team of Bielefeld (ToBI) has been founded in 2009. The robocup activities are
embedded in a long-term research history towards human-robot interaction with laypersons …

The paper presents a holistic robotic system specification methodology taking into account
both the system structure and its activities. It is based on the concept of an embodied agent …

Robotic systems are composed of at least one robot and zero or more auxiliary devices.
They contain effectors, receptors and the control system. Currently control systems are …