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Titlebook: Algorithmic Foundations of Robotics XI; Selected Contributio H. Levent Akin,Nancy M. Amato,A. Frank Stappen Book 2015 Springer Internationa

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51#
發(fā)表于 2025-3-30 09:00:28 | 只看該作者
52#
發(fā)表于 2025-3-30 15:31:45 | 只看該作者
978-3-319-36607-4Springer International Publishing Switzerland 2015
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發(fā)表于 2025-3-30 19:38:01 | 只看該作者
Suicidal Behavior in Schizophrenicsd we want to move the discs to a given set of . target positions. Contrary to the standard (labeled) version of the problem, each disc is allowed to be moved to any target position, as long as in the end every target position is occupied. We show that this unlabeled version of the problem can be sol
54#
發(fā)表于 2025-3-30 22:13:27 | 只看該作者
Jerry F. Westermeyer,Martin Harrowes in Euclidean . space (for arbitrary . and .) to an arbitrary goal configuration with the guarantee of no collisions along the way. Our construction entails a discrete abstraction of configurations using cluster hierarchies, and relies upon two prior recent constructions: (i) a family of hierarchy
55#
發(fā)表于 2025-3-31 02:53:46 | 只看該作者
56#
發(fā)表于 2025-3-31 05:27:03 | 只看該作者
57#
發(fā)表于 2025-3-31 11:41:47 | 只看該作者
https://doi.org/10.1007/978-3-7091-6253-8of near-by robots in the environment. This problem is studied in the context of large swarms of simple robots which are capable of measuring only the distance to near-by robots. We compare two distributedlocalization algorithms with different trade-offs between their computational complexity and the
58#
發(fā)表于 2025-3-31 15:44:10 | 只看該作者
59#
發(fā)表于 2025-3-31 19:34:34 | 只看該作者
H. U. K?tter,S. Stübner,U. Hegerl,H. Hampelilds an approximate representation of the planning space. While these planners have demonstrated success in many scenarios, there are still difficult problems where they lack robustness or efficiency, e.g., certain types of narrow spaces. Conversely, human intuition can often determine an approximat
60#
發(fā)表于 2025-4-1 00:59:00 | 只看該作者
Eigene Untersuchungen: Studie 1igh-dimensional problems. However, standard versions of these algorithms cannot guarantee optimality or even high-quality for the produced paths. In recent years, variants of these methods, taking cost criteria into account during the exploration process, have been proposed to compute high-quality p
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