Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model

Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research areas in psychology, cognitive neuroscience and cognitive physiology, understanding mirror neurons in a social cognition context, whether with neural or computational models, is still an open issue [5]. In this paper, we mainly focus on the action understanding aspect of mirror neurons, which can be regarded as a fundamental function of social cooperation and social cognition. Our proposed initial architecture is to learn a simulation of the walking pattern of a humanoid robot and to predict where the robot is heading on the basis of its previous walking trajectory.

• Type: Journal
• Year: 2011
• Where: ICANN
• Authors: Junpei Zhong, Cornelius Weber, Stefan Wermter
• Keywords: ICANN 2011, Initial Architecture, Mirror Neurons, Neural Networks, Social Cognition