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Published in:
2011 | OriginalPaper | Chapter
Robotic 3D Reaching through a Development-Driven Double Neural Network Architecture
Authors : Fei Chao, Lin Hu, Minghui Shi, Min Jiang
Published in: Knowledge Engineering and Management
Publisher: Springer Berlin Heidelberg
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Reaching ability is a kind of human sensory motor coordination. The objective of this work is to imitate the developmental progress of human infant to create a robotic system which can reach or capture objects. The work proposes to employ a double neural network architecture to implement control a robotic system to learn reaching within 3D experimental environment. A constraint releasing mechanism is applied to implement the development procedure for the robot system. In addition, the experimental results are described and discussed in this paper.