Complex Behavior in Evolutionary Robotics

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Title:	Complex Behavior in Evolutionary Robotics
Description:	Today, autonomous robots are used in a rather limited range of applications such as exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing hardware improvements (and human fantasy) steadily reveal new robotic applications of significantly higher sophistication. For such applications, the crucial bottleneck in the engineering process tends to shift from physical boundaries to controller generation. As an attempt to automatize this process, Evolutionary Robotics has successfully been used to generate robotic controllers of various types. However, a major challenge of the field remains the evolution of truly complex behavior. Furthermore, automatically created controllers often lack analyzability which makes them useless for safety-critical applications. In this book, a simple controller model based on Finite State Machines is proposed which allows a straightforward analysis of evolved behaviors. To increase the model's evolvability, a procedure is introduced which, by adapting the genotype-phenotype mapping at runtime, efficiently traverses both the behavioral search space as well as (recursively) the search space of genotype-phenotype mappings. Furthermore, a data-driven mathematical framework is proposed which can be used to calculate the expected success of evolution in complex environments.
Authors:	Lukas König
Resource Type:	eBook.
Subjects:	Evolutionary robotics
Categories:	TECHNOLOGY & ENGINEERING / Robotics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Cybernetics, COMPUTERS / Interactive & Multimedia, TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Engineering (General)
Database:	eBook Collection (EBSCOhost)

FullText	Links: – Type: ebook-epub Text: Availability: 0
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Items	– Name: Title Label: Title Group: Ti Data: Complex Behavior in Evolutionary Robotics – Name: Abstract Label: Description Group: Ab Data: Today, autonomous robots are used in a rather limited range of applications such as exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing hardware improvements (and human fantasy) steadily reveal new robotic applications of significantly higher sophistication. For such applications, the crucial bottleneck in the engineering process tends to shift from physical boundaries to controller generation. As an attempt to automatize this process, Evolutionary Robotics has successfully been used to generate robotic controllers of various types. However, a major challenge of the field remains the evolution of truly complex behavior. Furthermore, automatically created controllers often lack analyzability which makes them useless for safety-critical applications. In this book, a simple controller model based on Finite State Machines is proposed which allows a straightforward analysis of evolved behaviors. To increase the model's evolvability, a procedure is introduced which, by adapting the genotype-phenotype mapping at runtime, efficiently traverses both the behavioral search space as well as (recursively) the search space of genotype-phenotype mappings. Furthermore, a data-driven mathematical framework is proposed which can be used to calculate the expected success of evolution in complex environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lukas+König%22">Lukas König</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Evolutionary+robotics%22">Evolutionary robotics</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Robotics%22">TECHNOLOGY & ENGINEERING / Robotics</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Image+Processing%22">COMPUTERS / Image Processing</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Cybernetics%22">COMPUTERS / Cybernetics</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Interactive+%26+Multimedia%22">COMPUTERS / Interactive & Multimedia</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Automation%22">TECHNOLOGY & ENGINEERING / Automation</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Engineering+%28General%29%22">TECHNOLOGY & ENGINEERING / Engineering (General)</searchLink>
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RecordInfo	BibRecord: BibEntity: Classifications: – Code: 629.892 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Evolutionary robotics Type: general Titles: – TitleFull: Complex Behavior in Evolutionary Robotics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lukas König – PersonEntity: Name: NameFull: Lukas König IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2015 – D: 01 M: 02 Type: profile Y: 2016 Identifiers: – Type: isbn-print Value: 9783110408546 – Type: isbn-electronic Value: 9783110408553 – Type: isbn-electronic Value: 9783110409185 Titles: – TitleFull: Complex Behavior in Evolutionary Robotics Type: main
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