Robot Self-Characterisation of Experience Using Trajectories in Sensory-Motor Phase Space

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.