Learning an Efficient Gait Cycle of a Biped Robot Based on Reinforcement Learning and Artificial Neural Networks

Programming robots for performing different activities requires calculating sequences of values of their joints by taking into account many factors, such as stability and efficiency, at the same time. Particularly for walking, state of the art techniques to approximate these sequences are based on r...

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Bibliographic Details
Main Authors: Cristyan R. Gil, Hiram Calvo, Humberto Sossa
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/3/502