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%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