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Analysis and Design of Machine Learning Techniques

By Patrick Stalph

Analysis and Design of Machine Learning Techniques Medicine

Analysis and Design of Machine Learning Techniques

0 - Default Title
Description
Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. The fundamental challenge, that motivates Patrick Stalph, originates from the cognitive science: How do humans learn their motor skills? The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain ¿ at least to some extent. Therefore three suitable machine learning algorithms are selected ¿ algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. The power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the iCub humanoid robot. Convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
176
Release Date:
2014-02-17
Publication Date:
2014-02-17
Publisher:
Springer VS
Languages:
Original: English
ISBN10:
3658049367
ISBN13:
9783658049362
GPSR Manufacturer Reference:
[email protected]
Weight:
236 g
Height:
148 cm
Width:
210 cm
Thickness:
10 cm
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