%A Naeem A. Mirza
%A Chrystopher Nehaniv
%A Rene te Boekhorst
%A Kerstin Dautenhahn
%T Robot Self-Characterisation of Experience Using
Trajectories in Sensory-Motor Phase Space
%X We describe sensorimotor phase-plots constructed
using information theoretical methods
from raw sensor data as a way for a robotic agent
to characterise its interactions and interaction
history. Measurements of the position and shape
of the trajectories, including fractal dimension,
can be used to characterise the agent-environment
interaction.
%K environmental interaction, interaction characterisation, informaiton distance, factal dimension, AIBO robot
%P 143-144
%E Luc Berthouze
%E Fr?d?ric Kaplan
%E Hideki Kozima
%E Hiroyuki Yano
%E J?rgen Konczak
%E Giorgio Metta
%E Jacqueline Nadel
%E Giulio Sandini
%E Georgi Stojanov
%E Christian Balkenius
%V 123
%D 2005
%I Lund University Cognitive Studies
%L cogprints4992

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