Autonomous Navigation in Dynamic Environments

1. Front Matter

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2. Dynamic World Understanding and Modelling for Safe Navigation

   1. Front Matter

      Pages 1-1

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   2. Mobile Robot Map Learning from Range Data in Dynamic Environments

      • Wolfram Burgard, Cyrill Stachniss, Dirk Hähnel

      Pages 3-28

   3. Optical Flow Approaches for Self-supervised Learning in Autonomous Mobile Robot Navigation

      • Andrew Lookingbill, David Lieb, Sebastian Thrun

      Pages 29-44

   4. Steps Towards Safe Navigation in Open and Dynamic Environments

      • Christian Laugier, Stéphane Petti, Dizan Vasquez, Manuel Yguel, Thierry Fraichard, Olivier Aycard

      Pages 45-82

3. Obstacle Avoidance and Motion Planning in Dynamic Environments

   1. Front Matter

      Pages 83-83

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   2. Provably Safe Motions Strategies for Mobile Robots in Dynamic Domains

      • Rachid Alami, K. Madhava Krishna, Thierry Siméon

      Pages 85-106

   3. Motion Planning in Dynamic Environments

      • Zvi Shiller, Frederic Large, Sepanta Sekhavat, Christian Laugier

      Pages 107-119

   4. Recursive Agent Modeling with Probabilistic Velocity Obstacles for Mobile Robot Navigation Among Humans

      • Boris Kluge, Erwin Prassler

      Pages 121-134

   5. Towards Real-Time Sensor-Based Path Planning in Highly Dynamic Environments

      • Roland Philippsen, Björn Jensen, Roland Siegwart

      Pages 135-148

4. Human-Robot Physical Interactions

   1. Front Matter

      Pages 149-149

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   2. Tasking Everyday Interaction

      • Elena Pacchierotti, Patric Jensfelt, Henrik I. Christensen

      Pages 151-168

5. Back Matter

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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.

• IWK 07
• Motion Prediction
• Navigation
• Robot Navigation
• SLAM
• Tracking
• learning
• mobile robot
• modeling
• motion planning
• path planning
• robot
• sensor
• supervised learning
• uncertainty

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