A. Pico, G. Schillaci, V. V. Hafner (Humboldt Universität zu Berlin) and B. Lara (Universidad Autónoma del Estado de Morelos)
Frontiers in Robotics and AI, section Humanoid Robotics, June 30, 2016,
learning and for predicting the auditory consequences of self-generated
movements on a custom robotic platform. We show two experiments based on a computational model capable of performing forward predictions. First, we demonstrate that the system can classify motor behaviours by comparing the noise they produce with that of simulated actions. Thus, we show that, by using similar processes, the robot can detect unexpected environmental conditions, such as changes in the inclination of the surface it is walking on.
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