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A Cumulative Training Approach to Schistosomiasis Vector Density Prediction Read chapter Read first chapter

2016 | OriginalPaper | Chapter

A Controller for Improving Lateral Stability in a Dynamically Stable Gait

Authors : Zhenglong Sun, Nico Roos

Published in: Artificial Intelligence Applications and Innovations

Publisher: Springer International Publishing

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Abstract

In the previous work we presented a new gait for humanoid robots, such as the Nao developed by Aldebaran. This new gait implemented on a Nao, reduces the energy consumption by 41 %. Then main feature of the new gait is the absence of an area of support. The foot can rotate freely around the ankle joint. This feature makes the gait suited for uneven terrains.
Stability is an important aspect of walking on uneven terrains, especially the lateral stability. During the single support phase of a step the robot balances above the stance leg. If the robot steps on a bump or in a hole, the lateral stability may be disrupted. This paper presents a controller that guarantees the lateral stability in the present of such disruptions.

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Footnotes
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Metadata
Title
A Controller for Improving Lateral Stability in a Dynamically Stable Gait
Authors
Zhenglong Sun
Nico Roos
Copyright Year
2016
Book
Artificial Intelligence Applications and Innovations

Print ISBN: 978-3-319-44943-2

Electronic ISBN: 978-3-319-44944-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44944-9_32

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