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» Mobile robot learning by evolution of fuzzy controller
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MICAI
2007
Springer
14 years 1 months ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
SMC
2007
IEEE
181views Control Systems» more  SMC 2007»
14 years 1 months ago
Evaluation of grid-map sensor fusion mapping algorithms
This paper presents a thorough evaluation of grid map based sensor fusion algorithms for mapping the environment of a mobile robot. Three physical sensors were used for creating t...
Keren Kapach, Yael Edan
IMCSIT
2010
13 years 4 months ago
PSO based modeling of Takagi-Sugeno fuzzy motion controller for dynamic object tracking with mobile platform
Modeling of optimized motion controller is one of the interesting problems in the context of behavior based mobile robotics. Behavior based mobile robots should have an ideal contr...
Meenakshi Gupta, Laxmidhar Behera, Venkatesh K. S.
RAS
2007
105views more  RAS 2007»
13 years 7 months ago
A multi-agent architecture with cooperative fuzzy control for a mobile robot
The challenges of robotics have led the researchers to develop control architectures composed of distributed, independent and asynchronous behaviors. One way to approach decentral...
Bianca Innocenti, Beatriz López, Joaquim Sa...
FUZZIEEE
2007
IEEE
14 years 1 months ago
A Genetic Algorithm Based Architecture for Evolving Type-2 Fuzzy Logic Controllers for Real World Autonomous Mobile Robots
— The type-2 Fuzzy Logic Controller (FLC) has started to emerge as a promising control mechanism for autonomous mobile robots navigating in real world environments. This is becau...
Christian Wagner, Hani Hagras