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Autonomous Navigation in Dynamic Environments
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Table of 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.

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