Title | ||
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Robot trajectory prediction and recognition based on a computational mirror neurons model |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-21738-8_43 | ICANN (2) |
Keywords | Field | DocType |
understanding mirror neuron,cognitive physiology,robot trajectory prediction,social cooperation,mirror neuron,goal-directed action,cognitive neuroscience,social cognition context,action understanding,action understanding aspect,neurons model,social cognition,mirror neurons,recurrent neural network | Cognitive neuroscience,Mirror neuron,Computer science,Cognitive science,Recurrent neural network,Computational model,Artificial intelligence,Social cognition,Robot,Cognition,Machine learning,Humanoid robot | Conference |
Volume | ISSN | Citations |
6792 | 0302-9743 | 2 |
PageRank | References | Authors |
0.40 | 9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junpei Zhong | 1 | 26 | 6.99 |
Cornelius Weber | 2 | 318 | 41.92 |
Stefan Wermter | 3 | 1100 | 151.62 |