Incremental Replanning for Mapping

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Title: Incremental Replanning for Mapping
Author: Koenig, Sven ; Likhachev, Maxim
Abstract: Incremental heuristic search methods can often replan paths much faster than incremental or heuristic search methods individually, yet are simple to use. So far, they have only been used in mobile robotics to move a robot to given goal coordinates in unknown terrain. As far as we know, incremental heuristic search methods have not yet been applied to the problem of mapping unknown terrain. In this paper, we therefore describe how to apply our incremental heuristic search method D* Lite, that combines ideas from Lifelong Planning A* and Focussed D*, to mapping unknown terrain, which is rather nontrivial. We then compare its runtime against that of incremental search and heuristic search alone, demonstrating the computational benefits of their combination. By demonstrating the versatility and computational benefits of incremental heuristic search, we hope that this underexploited technique will be used more often in mobile robotics.
Type: Paper
Date: 2002
Contributor: Carnegie-Mellon University. School of Computer Science
Georgia Institute of Technology. College of Computing
Publisher: Georgia Institute of Technology
Subject: D*Lite
Greedy mapping
Incremental heuristic search methods
Sensor range

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