creators_name: Mirza, Naeem A. creators_name: Nehaniv, Chrystopher creators_name: te Boekhorst, Rene creators_name: Dautenhahn, Kerstin editors_name: Berthouze, Luc editors_name: Kaplan, Frédéric editors_name: Kozima, Hideki editors_name: Yano, Hiroyuki editors_name: Konczak, Jürgen editors_name: Metta, Giorgio editors_name: Nadel, Jacqueline editors_name: Sandini, Giulio editors_name: Stojanov, Georgi editors_name: Balkenius, Christian type: confposter datestamp: 2006-07-23 lastmod: 2011-03-11 08:56:31 metadata_visibility: show title: Robot Self-Characterisation of Experience Using Trajectories in Sensory-Motor Phase Space ispublished: pub subjects: comp-sci-mach-learn subjects: comp-sci-robot full_text_status: public keywords: environmental interaction, interaction characterisation, informaiton distance, factal dimension, AIBO robot abstract: 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. date: 2005 date_type: published volume: 123 publisher: Lund University Cognitive Studies pagerange: 143-144 refereed: TRUE citation: Mirza, Naeem A. and Nehaniv, Chrystopher and te Boekhorst, Rene and Dautenhahn, Kerstin (2005) Robot Self-Characterisation of Experience Using Trajectories in Sensory-Motor Phase Space. [Conference Poster] document_url: http://cogprints.org/4992/1/mirza.pdf