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ICANN
2011
Springer

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

11 years 1 months ago
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.
Junpei Zhong, Cornelius Weber, Stefan Wermter
Added 29 Aug 2011
Updated 29 Aug 2011
Type Journal
Year 2011
Where ICANN
Authors Junpei Zhong, Cornelius Weber, Stefan Wermter
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