Sensor Based Intelligent Robots (Paperback)

Gregory D. Hager

ISBN 10: 3540433996 / ISBN 13: 9783540433996

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2002

Riguardo questo articolo

Paperback. 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. Robotics is a highly interdisciplinary research topic, that requires integration of methods for mechanics, control engineering, signal processing, planning, gra- ics, human-computer interaction, real-time systems, applied mathematics, and software engineering to enable construction of fully operational systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Codice articolo 9783540433996

Dati bibliografici

• Titolo: Sensor Based Intelligent Robots (Paperback)
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 3540433996
• ISBN 13: 9783540433996
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

Robotics is a highly interdisciplinary research topic, that requires integration of methods for mechanics, control engineering, signal processing, planning, gra- ics, human-computer interaction, real-time systems, applied mathematics, and software engineering to enable construction of fully operational systems. The diversity of topics needed to design, implement, and deploy such systems implies that it is almost impossible for individual teams to provide the needed critical mass for such endeavors. To facilitate interaction and progress on sensor-based intelligent robotics inter-disciplinary workshops are necessary through which - depthdiscussioncanbeusedforcrossdisseminationbetweendi?erentdisciplines. The Dagstuhl foundation has organized a number of workshops on Mod- ing and Integration of Sensor Based Intelligent Robot Systems. The Dagstuhl seminars take place over a full week in a beautiful setting in the Saarland in Germany. The setting provides an ideal environment for in-depth presentations and rich interaction between the participants. This volume contains papers presented during the fourth workshop held - tober 15–20, 2000. All papers were submitted by workshop attendees, and were reviewed by at least one reviewer. We wish to thank all of the reviewers for their invaluable help in making this a high-quality selection of papers. We gratefully acknowledge the support of the Schloss Dagstuhl Foundation and the sta? at Springer-Verlag. Without their support the production of this volume would not have been possible.

Contenuti

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.