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.

@InProceedings{ZWW11a,
 	 author =  {Zhong, Junpei and Weber, Cornelius and Wermter, Stefan},
 	 title = {Robot Trajectory Prediction and Recognition based on a Computational Mirror Neurons Model},
 	 booktitle = {Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011)},
 	 journal = {None},
 	 editors = {}
 	 number = {}
 	 volume = {}
 	 pages = {333--340},
 	 year = {2011},
 	 month = {Jun},
 	 publisher = {Springer},
 	 doi = {10.1007/978-3-642-21738-8_43},
 }