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Titlebook: Algorithmic Foundations of Robotics V; Jean-Daniel Boissonnat,Joel Burdick,Seth Hutchinso Book 2004 Springer-Verlag Berlin Heidelberg 2004

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A Comparative Study of Probabilistic Roadmap Planners,nes and on the same computer. In particular we compare collision checking techniques, basic sampling techniques, and node adding techniques. The results should help future users of the probabilistic roadmap planning approach to choose the correct techniques.
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Better Group Behaviors Using Rule-Based Roadmaps,odify their actions based on their current location and state. We propose new techniques for three distinct group behaviors: homing, exploring (covering and goal searching) and passing through narrow areas. Animations of these behaviors can be viewed at http://parasol.tamu.edu/dsmft.
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Medikamente in der Depressionsbehandlung, complexity. Extensive experiments, first on segments randomly generated in c-space, next as part of an existing PRM planner, and finally as part of a path smoother/optimizer have shown that the new checker is faster than the common resolution-based approach (with suitable resolution).
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Motion Planning for Knot Untangling,ng. We also show how to produce candidates with minimal number of segments for a given knot. Finally, we discuss some possible applications of our untangling planner in computational topology, in the study of DNA rings and protein folding and for planning with flexible robots.
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