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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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发表于 2025-3-21 16:31:21 | 显示全部楼层 |阅读模式
期刊全称Algorithmic Foundations of Robotics XI
期刊简称Selected Contributio
影响因子2023H. Levent Akin,Nancy M. Amato,A. Frank Stappen
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发行地址Presents recent leading research on robotic algorithms.Edited outcome of the Eleventh International Workshop on the Algorithmic Foundations of Robotics (WAFR) held in Istanbul, Turkey at 3-5 August 20
学科分类Springer Tracts in Advanced Robotics
图书封面Titlebook: Algorithmic Foundations of Robotics XI; Selected Contributio H. Levent Akin,Nancy M. Amato,A. Frank Stappen Book 2015 Springer Internationa
影响因子.This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics. The eleventh WAFR, which was held August 3-5, 2014 at Boğaziçi University in Istanbul, Turkey continued this tradition. This volume contains extended versions of the 42 papers presented at WAFR. These contributions highlight the cutting edge research in classical robotics problems (e.g.  manipulation, motion, path, multi-robot and kinodynamic planning), geometric and topological computation in robotics as well novel applications such as informative path planning, active sensing and surgical planning.  This book - rich by topics and authoritative contributors - is a unique reference on the current developments and new directions in the field of algorithmic foundations..
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https://doi.org/10.1007/978-3-7091-6253-8rdinate which robots must remain stationary and which robots are allowed to move. This coordination allows the robots to use standard trilateration techniques to compute the relative pose of near-by robots. Both algorithms are analyzed theoretically and validated through simulations.
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Einflussfaktoren und Lebenstil,e to prove upper and lower bounds for the worst-case tracking performance, both with or without obstacles. We also provide simulation results on real and synthetic data to illustrate trackability under imprecise localization.
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https://doi.org/10.1007/978-3-211-49297-0 satisfied for the robots to manipulate the object. From this data structure, we readily derive a complete planner to coordinate such motion. Finally, we show how to construct the FTG in some sample environments and discuss future adaptations to general environments.
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