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Extremal Cylinder Configurations I: Configuration $C_{mathfrak {m}}$ 极值圆柱体配置I:配置$C_{mathfrak {m}}$
Pub Date : 2018-12-22 DOI: 10.1007/S00454-020-00244-6
O. Ogievetsky, S. Shlosman
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引用次数: 5
Maximum-Width Empty Square and Rectangular Annulus 最大宽度空正方形和矩形环
Pub Date : 2018-11-15 DOI: 10.1007/978-3-030-10564-8_6
S. Bae, Arpita Baral, P. Mahapatra
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引用次数: 4
Covering the plane by a sequence of circular disks with a constraint 用一系列带约束的圆盘覆盖平面
Pub Date : 2018-09-28 DOI: 10.1016/J.COMGEO.2020.101680
A. Bhattacharya, A. Mondal
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引用次数: 0
Soft Subdivision Motion Planning for Complex Planar Robots 复杂平面机器人的软细分运动规划
Pub Date : 2018-08-01 DOI: 10.4230/LIPIcs.ESA.2018.73
Bo Zhou, Yi-Jen Chiang, C. Yap
The design and implementation of theoretically-sound robot motion planning algorithms is challenging. Within the framework of resolution-exact algorithms, it is possible to exploit soft predicates for collision detection. The design of soft predicates is a balancing act between easily implementable predicates and their accuracy/effectivity.In this paper, we focus on the class of planar polygonal rigid robots with arbitrarily complex geometry. We exploit the remarkable decomposability property of soft collision-detection predicates of such robots. We introduce a general technique to produce such a decomposition. If the robot is an m-gon, the complexity of this approach scales linearly in m. This contrasts with the O(m^3) complexity known for exact planners. It follows that we can now routinely produce soft predicates for any rigid polygonal robot. This results in resolution-exact planners for such robots within the general Soft Subdivision Search (SSS) framework. This is a significant advancement in the theory of sound and complete planners for planar robots.We implemented such decomposed predicates in our open-source Core Library. The experiments show that our algorithms are effective, perform in real time on non-trivial environments, and can outperform many sampling-based methods.
理论上合理的机器人运动规划算法的设计和实现是具有挑战性的。在分辨率精确算法的框架内,可以利用软谓词进行碰撞检测。软谓词的设计需要在易于实现的谓词和它们的准确性/有效性之间取得平衡。本文主要研究一类具有任意复杂几何结构的平面多边形刚性机器人。我们利用了这类机器人的软碰撞检测谓词显著的可分解性。我们将介绍产生这种分解的一般技术。如果机器人是一个m-gon,这种方法的复杂性在m中线性扩展。这与精确规划者已知的O(m^3)复杂性形成对比。接下去我们现在可以经常产生软谓词对于任何刚性多边形机器人。这导致在一般软细分搜索(SSS)框架内为此类机器人提供分辨率精确的规划器。这是平面机器人完整规划理论的重大进展。我们在我们的开源核心库中实现了这样的分解谓词。实验表明,我们的算法是有效的,在非平凡环境下可以实时执行,并且优于许多基于采样的方法。
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引用次数: 4
Inserting an Edge into a Geometric Embedding 在几何嵌入中插入边缘
Pub Date : 2018-07-31 DOI: 10.1007/978-3-030-04414-5_29
Marcel Radermacher, Ignaz Rutter
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引用次数: 7
Packing Plane Spanning Trees into a Point Set 将平面生成树打包成一个点集
Pub Date : 2018-03-06 DOI: 10.1016/J.COMGEO.2020.101653
Ahmad Biniaz, Alfredo García
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引用次数: 10
Convexity-Increasing Morphs of Planar Graphs 平面图的增加凸型
Pub Date : 2018-02-19 DOI: 10.1007/978-3-030-00256-5_26
Linda Kleist, Boris Klemz, A. Lubiw, Lena Schlipf, F. Staals, Darren Strash
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引用次数: 10
γ-Soft packings of rectangles γ-矩形的软填料
Pub Date : 2018-02-01 DOI: 10.1016/j.comgeo.2018.01.005
Ulrich Brenner
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引用次数: 1
A linearized circle packing algorithm 一种线性化的圆填充算法
Pub Date : 2017-08-01 DOI: 10.1016/j.comgeo.2017.03.002
Gerald L. Orick, Kenneth Stephenson, Charles R. Collins
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引用次数: 14
Packing Short Plane Spanning Trees in Complete Geometric Graphs 完全几何图中的填充短平面生成树
Pub Date : 2017-03-17 DOI: 10.4230/LIPIcs.ISAAC.2016.9
O. Aichholzer, T. Hackl, Matias Korman, Alexander Pilz, G. Rote, André van Renssen, Marcel Roeloffzen, B. Vogtenhuber
Given a set of points in the plane, we want to establish a connection network between these points that consists of several disjoint layers. Motivated by sensor networks, we want that each layer is spanning and plane, and that no edge is very long (when compared to the minimum length needed to obtain a spanning graph). We consider two different approaches: first we show an almost optimal centralized approach to extract two trees. Then we show a constant factor approximation for a distributed model in which each point can compute its adjacencies using only local information. This second approach may create cycles, but maintains planarity.
给定平面上的一组点,我们想在这些点之间建立一个连接网络,该网络由几个不相交的层组成。在传感器网络的激励下,我们希望每一层都是跨平面的,并且没有很长的边(与获得生成图所需的最小长度相比)。我们考虑了两种不同的方法:首先,我们展示了一种几乎最优的集中方法来提取两棵树。然后,我们展示了一个分布式模型的常数因子近似,其中每个点可以仅使用局部信息计算其邻接关系。第二种方法可能产生循环,但保持平面性。
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引用次数: 2
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Discret. Comput. Geom.
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