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Autonomous Navigation in Dynamic Environments

Contributor(s): Laugier, Christian [editor.] | Chatila, Raja [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Tracts in Advanced Robotics: 35Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: X, 172 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540734222.Subject(s): Engineering | Artificial intelligence | System theory | Control engineering | Robotics | Mechatronics | Engineering | Control, Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Systems Theory, ControlDDC classification: 629.8 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present new ideas and approaches in this newly emerging technical domain. The book surveys the state-of-the-art, discusses in detail various related challenging technical aspects, and addresses upcoming technologies in this field. The aim of the book is to establish a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions. Three main topics located on the cutting edge of the state of the art are addressed, from both the theoretical and technological point of views: Dynamic world understanding and modelling for safe navigation, Obstacle avoidance and motion planning in dynamic environments, and Human-robot physical interactions. Several models and approaches are proposed for solving problems such as Simultaneous Localization and Mapping (SLAM) in dynamic environments, Mobile obstacle detection and tracking, World state estimation and motion prediction, Safe navigation in dynamic environments, Motion planning in dynamic environments, Robust decision making under uncertainty, and Human-Robot physical interactions.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBK10160
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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.

The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present new ideas and approaches in this newly emerging technical domain. The book surveys the state-of-the-art, discusses in detail various related challenging technical aspects, and addresses upcoming technologies in this field. The aim of the book is to establish a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions. Three main topics located on the cutting edge of the state of the art are addressed, from both the theoretical and technological point of views: Dynamic world understanding and modelling for safe navigation, Obstacle avoidance and motion planning in dynamic environments, and Human-robot physical interactions. Several models and approaches are proposed for solving problems such as Simultaneous Localization and Mapping (SLAM) in dynamic environments, Mobile obstacle detection and tracking, World state estimation and motion prediction, Safe navigation in dynamic environments, Motion planning in dynamic environments, Robust decision making under uncertainty, and Human-Robot physical interactions.

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