Laugier / Chatila | Autonomous Navigation in Dynamic Environments | Buch | 978-3-540-73421-5 | sack.de

Buch, Englisch, Band 35, 172 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 980 g

Reihe: Springer Tracts in Advanced Robotics

Laugier / Chatila

Autonomous Navigation in Dynamic Environments


1. Auflage 2007
ISBN: 978-3-540-73421-5
Verlag: Springer

Buch, Englisch, Band 35, 172 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 980 g

Reihe: Springer Tracts in Advanced Robotics

ISBN: 978-3-540-73421-5
Verlag: Springer


At the dawn of the new millennium, robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into the challenges of unstructured environments. Interacting with, assi- ing, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. The goal of the new series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field. The collection edited by Christian Laugier and Raja Chatila is the third one in the series on mapping and navigation, and is focused on the problem of autonomous navigation in dynamic environments. The state of the art is surveyed, a number of challenging technical aspects are discussed and upcoming technologies are addressed. The ambitious goal is to lay down the foundation for a broad class of robot m- ping and navigation methodologies for indoors, outdoors, and even exploratory m- sions. Future service robots and intelligent vehicles are waiting for effective solutions to such kind of problems.

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Research

Weitere Infos & Material


Dynamic World Understanding and Modelling for Safe Navigation.- Mobile Robot Map Learning from Range Data in Dynamic Environments.- Optical Flow Approaches for Self-supervised Learning in Autonomous Mobile Robot Navigation.- Steps Towards Safe Navigation in Open and Dynamic Environments.- Obstacle Avoidance and Motion Planning in Dynamic Environments.- Provably Safe Motions Strategies for Mobile Robots in Dynamic Domains.- Motion Planning in Dynamic Environments.- Recursive Agent Modeling with Probabilistic Velocity Obstacles for Mobile Robot Navigation Among Humans.- Towards Real-Time Sensor-Based Path Planning in Highly Dynamic Environments.- Human-Robot Physical Interactions.- Tasking Everyday Interaction.



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