activity
20112016
most citedOn the Power of Manifold Samples in Exploring Configuration Spaces and the Dimensionality of Narrow Passages

28 citations · 92 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CG2016

Computing Nonsimple Polygons of Minimum Perimeter

Sándor P. Fekete, Andreas Haas, Michael Hemmer +8

We provide exact and approximation methods for solving a geometric relaxation of the Traveling Salesman Problem (TSP) that occurs in curve reconstruction: for a given set of vertic…

cs.CG2015

The Continuous 1.5D Terrain Guarding Problem: Discretization, Optimal Solutions, and PTAS

Stephan Friedrichs, Michael Hemmer, James King +1

In the NP-hard continuous 1.5D Terrain Guarding Problem (TGP) we are given an -monotone chain of line segments in (the terrain ) and ask for the minimum number…

cs.RO2015

A Parallel Distributed Strategy for Arraying a Scattered Robot Swarm

Dominik Krupke, Michael Hemmer, James McLurkin +2

We consider the problem of organizing a scattered group of robots in two-dimensional space, with geometric maximum distance between robots. The communication graph of the s…

cs.RO2015★ 2 cited

Distributed Cohesive Control for Robot Swarms: Maintaining Good Connectivity in the Presence of Exterior Forces

Dominik Krupke, Maximilian Ernestus, Michael Hemmer +1

We present a number of powerful local mechanisms for maintaining a dynamic swarm of robots with limited capabilities and information, in the presence of external forces and permane…

cs.CG2015★ 6 cited

Exact Minkowski Sums of Polygons With Holes

Alon Baram, Efi Fogel, Michael Hemmer +2

We present an efficient algorithm that computes the Minkowski sum of two polygons, which may have holes. The new algorithm is based on the convolution approach. Its efficiency stem…

cs.CG2014

Optimal randomized incremental construction for guaranteed logarithmic planar point location

Michael Hemmer, Michal Kleinbort, Dan Halperin

Given a planar map of segments in which we wish to efficiently locate points, we present the first randomized incremental construction of the well-known trapezoidal-map search-…

cs.CG2014★ 4 cited

Engineering Art Galleries

Pedro J. de Rezende, Cid C. de Souza, Stephan Friedrichs +3

The Art Gallery Problem is one of the most well-known problems in Computational Geometry, with a rich history in the study of algorithms, complexity, and variants. Recently there h…

cs.CG2014

Algorithms for Art Gallery Illumination

Maximilian Ernestus, Stephan Friedrichs, Michael Hemmer +4

The Art Gallery Problem (AGP) is one of the classical problems in computational geometry. It asks for the minimum number of guards required to achieve visibility coverage of a give…

cs.CG2014★ 4 cited

A PTAS for the continuous 1.5D Terrain Guarding Problem

Stephan Friedrichs, Michael Hemmer, Christiane Schmidt

In the continuous 1.5-dimensional terrain guarding problem we are given an -monotone chain (the \emph{terrain} ) and ask for the minimum number of point guards (located anywh…

cs.CG2014★ 22 cited

Efficient Computation of Visibility Polygons

Francisc Bungiu, Michael Hemmer, John Hershberger +2

Determining visibility in planar polygons and arrangements is an important subroutine for many algorithms in computational geometry. In this paper, we report on new implementations…

cs.CG2014★ 5 cited

Complexity of the General Chromatic Art Gallery Problem

Sándor P. Fekete, Stephan Friedrichs, Michael Hemmer

In the original Art Gallery Problem (AGP), one seeks the minimum number of guards required to cover a polygon . We consider the Chromatic AGP (CAGP), where the guards are colore…

cs.CG2012★ 11 cited

Improved Implementation of Point Location in General Two-Dimensional Subdivisions

Michael Hemmer, Michal Kleinbort, Dan Halperin

We present a major revamp of the point-location data structure for general two-dimensional subdivisions via randomized incremental construction, implemented in CGAL, the Computatio…

cs.RO2012★ 28 cited

On the Power of Manifold Samples in Exploring Configuration Spaces and the Dimensionality of Narrow Passages

Oren Salzman, Michael Hemmer, Dan Halperin

We extend our study of Motion Planning via Manifold Samples (MMS), a general algorithmic framework that combines geometric methods for the exact and complete analysis of low-dimens…

cs.CG2011★ 10 cited

Motion Planning via Manifold Samples

Oren Salzman, Michael Hemmer, Barak Raveh +1

We present a general and modular algorithmic framework for path planning of robots. Our framework combines geometric methods for exact and complete analysis of low-dimensional conf…