Paper Info
Title
A Hierarchical fuzzy controller for a biped robot.
Abstract
In this paper the investigation is placed on the hierarchic neuro-fuzzy systems as a possible solution for biped control. An hierarchic controller for biped is presented, it includes several sub-controllers and the whole structure is generated using the adaptive Neuro-fuzzy method. The proposed hierarchic system focus on the key role that the centre of mass position plays in biped robotics, the system sub-controllers generate their outputs taken into consideration the position of that key point.
Year
DOI
Venue
2014
10.1109/ICBR.2013.6729270
Individual and Collective Behaviors in Robotics
Keywords
Field
DocType
adaptive control,fuzzy control,legged locomotion,neurocontrollers,adaptive neuro-fuzzy method,biped control,biped robot,centre-of-mass position,hierarchic neuro-fuzzy system,hierarchical fuzzy controller,Neuro-fuzzy systems,biped robot,hierarchical fuzzy systems
Control theory,Control theory,Fuzzy logic,Control engineering,Artificial intelligence,Adaptive control,Adaptive neuro fuzzy inference system,Fuzzy control system,Engineering,Robot,Robotics
Journal
Volume
Citations 
PageRank 
abs/1402.1283
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Abdallah Zaidi100.68
Nizar Rokbani2296.80
Mohamed Adel Alimi31947217.16