TY - GEN
T1 - Robot trajectory prediction and recognition based on a computational mirror neurons model
AU - Zhong, Junpei
AU - Weber, Cornelius
AU - Wermter, Stefan
PY - 2011/6
Y1 - 2011/6
N2 - 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.
AB - 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.
KW - Mirror Neurons
KW - Parametric Bias
KW - Recurrent Neural Network
KW - Robot Walking Pattern
UR - http://www.scopus.com/inward/record.url?scp=79959327197&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21738-8_43
DO - 10.1007/978-3-642-21738-8_43
M3 - Conference article published in proceeding or book
AN - SCOPUS:79959327197
SN - 9783642217371
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 333
EP - 340
BT - Artificial Neural Networks and Machine Learning, ICANN 2011 - 21st International Conference on Artificial Neural Networks, Proceedings
T2 - 21st International Conference on Artificial Neural Networks, ICANN 2011
Y2 - 14 June 2011 through 17 June 2011
ER -