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Can I read Hybrid Learning Architecture for Fuzzy Control of Quadruped Walking Robots on EtoBox?
Hybrid Learning Architecture for Fuzzy Control of Quadruped Walking Robots by Huosheng Hu; Dongbing Gu is a Computer Science article available to read on EtoBox.
What is Hybrid Learning Architecture for Fuzzy Control of Quadruped Walking Robots about?
This article presents a hybrid learning architecture for fuzzy control of quadruped walking robots in the RoboCup domain. It combines reactive behaviors with deliberative reasoning to achieve complex goals in uncertain and dynamic environments. To achieve real-time and robust control performance, fuzzy logic controllers (FLCs) are used to encode the behaviors and a two-stage learning scheme is adopted to make these FLCs be adaptive to complex situations. The first stage is called structure learning, in which the rule base of an FLC is generated by a Q-learning scheme. The second stage is called parameter learning, in which the parameters of membership functions in input fuzzy sets are learned by using a real value genetic algorithm. The experimental results are provided to show the suitability of the architecture and effectiveness of the proposed learning scheme.
Who reads Hybrid Learning Architecture for Fuzzy Control of Quadruped Walking Robots?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Huosheng Hu; Dongbing Gu
- Publisher
- Hindawi Limited
- Published
- 2004
- Language
- EN
- Field
- Computer Science (Physical Sciences)