Machine Learning and Robot Perception

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforce...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Apolloni, Bruno (Editor ), Ghosh, Ashish (Editor ), Alpaslan, Ferda (Editor ), Patnaik, Srikanta (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Computational Intelligence, 7
Temas:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Learning Visual Landmarks for Mobile Robot Topological Navigation
  • Foveated Vision Sensor and Image Processing - A Review
  • On-line Model Learning for Mobile Manipulations
  • Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot
  • Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking
  • 3-D Modeling of Real-World Objects Using Range and Intensity Images
  • Perception for Human Motion Understanding
  • Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.

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