Sensor Based Intelligent Robots

International Workshop, Dagstuhl Castle, Germany, October 15-20, 2000. Selected Revised Papers

Häftad, Engelska, 2002

Av Gregory D. Hager, Henrik I. Christensen, Horst Bunke, Rolf Klein

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This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Sensor Based Intelligent Robots held in Dagstuhl Castle, Germany, in October 2000. The 20 revised full papers were carefully reviewed and improved for inclusion in this book. Addressing a broad variety of aspects of the highly interdisciplinary field of robotics, the book presents three topical sections on sensing, robotics, and intelligence.

Produktinformation

Utgivningsdatum2002-03-20
Mått155 x 235 x 21 mm
Vikt587 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor380
Upplaga2002
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540433996

Tillhör följande kategorier

Sensing.- Generic Model Abstraction from Examples.- Tracking Multiple Moving Objects in Populated, Public Environments.- Omnidirectional Vision for Appearance-Based Robot Localization.- Vision for Interaction.- Vision and Touch for Grasping.- A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences.- Dynamic Aspects of Visual Servoing and a Framework for Real-Time 3D Vision for Robotics.- Partitioned Image-Based Visual Servo Control: Some New Results.- Towards Robust Perception and Model Integration.- Robotics.- Large Consistent Geometric Landmark Maps.- Tactile Man-Robot Interaction for an Industrial Service Robot.- Multiple-Robot Motion Planning = Parallel Processing + Geometry.- Modelling, Control and Perception for an Autonomous Robotic Airship.- On the Competitive Complexity of Navigation Tasks.- Geometry and Part Feeding.- CoolBOT: A Component-Oriented Programming Framework for Robotics.- Intelligence.- Particle Filtering with Evidential Reasoning.- Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects.- Autonomous Fast Learning in a Mobile Robot.- Exploiting Context in Function-Based Reasoning.