Robotic Mapping and Exploration

"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stachniss, Cyrill (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Springer Tracts in Advanced Robotics, 55
Temas:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
System theory.
Control theory.
Control, Robotics, Automation.
Artificial Intelligence.
Systems Theory, Control .
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2009. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a XVIII, 198 p.  |b online resource. 
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490 1 |a Springer Tracts in Advanced Robotics,  |x 1610-742X ;  |v 55 
505 0 |a Basic Techniques -- I: Exploration with Known Poses -- Decision-Theoretic Exploration Using Coverage Maps -- Coordinated Multi-Robot Exploration -- Multi-Robot Exploration Using Semantic Place Labels -- II: Mapping and Exploration under Pose Uncertainty -- Efficient Techniques for Rao-Blackwellized Mapping -- Actively Closing Loops During Exploration -- Recovering Particle Diversity -- Information Gain-based Exploration -- Mapping and Localization in Non-Static Environments -- Conclusion. 
520 |a "Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Artificial intelligence. 
650 0 |a System theory. 
650 0 |a Control theory. 
650 1 4 |a Control, Robotics, Automation. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Systems Theory, Control . 
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830 0 |a Springer Tracts in Advanced Robotics,  |x 1610-742X ;  |v 55 
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950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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