Now showing items 1-10 of 11
KASPAR - a minimally expressive humanoid robot for human-robot interaction research
This paper provides a comprehensive introduction to the design of the minimally expressive robot KASPAR, which is particularly suitable for human-robot interaction studies. A low-cost design with off-the-shelf components ...
Developing social action capabilities in a humanoid robot using an interaction history architecture
We present experimental results for the humanoid robot Kaspar2 engaging in a simple “peekaboo” interaction game with a human partner. The robot develops the capability to engage in the game by using its history of interactions ...
Anticipating future experience using grounded sensorimotor informational relationships
(MIT Press, 2008)
Operational definitions and applications of the sensorimotor experience of an artificial embodied organism are presented along with a mathematical metric for distance between experiences based on Shannon information. We ...
Peekaboo: Effect of Experience Length on the Interaction History Driven Ontogeny of a Robot
(Lund University, 2006)
Extending the temporal horizon of autonomous robots
We introduce mathematically rigorous metrics on agent experiences having various temporal horizons. Sensorimotor variables accessible to the agent are--treated as information-theoretic sources modelled as random variables. ...
Sustaining interaction dynamics and engagement in dyadic child-robot interaction kinesics: Lessons learnt from an exploratory study
Motivated by questions of interaction design for Human-Robot Interaction (HRI), an exploratory initial study was carried out with children and a robotic pet in order to improve understanding the design space for interaction ...
Using temporal information distance to locate sensorimotor experience in a metric space
Information distance is used to measure how similar sensorimotor experience is to past experience--within a certain temporal horizon. Applied to groups--of sensors this gives a mathematical metric on sensorimotor experience ...
Using Sensory-Motor Phase-Plots to Characterise Robot-Environment Interactions
Information theoretic methods are used to characterise and identify robot-environment interactions, with a view to using these to build an embodied interaction history from the robot's perspective. A bottom-up approach is ...