Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots

Jared Coleman; Evangelos Kranakis; Oscar Morales-Ponce; Jaroslav Opatrny; Jorge Urrutia; Birgit Vogtenhuber

Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots

Jared Coleman, Evangelos Kranakis, Oscar Morales-Ponce, Jaroslav Opatrny, Jorge Urrutia, Birgit Vogtenhuber

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	73-79
Number of pages	7
State	Published - 2020
Externally published	Yes
Event	32nd Canadian Conference on Computational Geometry, CCCG 2020 - Saskatoon, Canada Duration: Aug 5 2020 → Aug 7 2020

Conference

Conference	32nd Canadian Conference on Computational Geometry, CCCG 2020
Country/Territory	Canada
City	Saskatoon
Period	8/5/20 → 8/7/20

ASJC Scopus Subject Areas

Geometry and Topology
Computational Mathematics

Cite this

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title = "Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots",

author = "Jared Coleman and Evangelos Kranakis and Oscar Morales-Ponce and Jaroslav Opatrny and Jorge Urrutia and Birgit Vogtenhuber",

note = "Publisher Copyright: {\textcopyright} 2020 Mark Keil and Debajyoti Mondal.; 32nd Canadian Conference on Computational Geometry, CCCG 2020 ; Conference date: 05-08-2020 Through 07-08-2020",

year = "2020",

language = "English",

pages = "73--79",

}

TY - CONF

T1 - Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots

AU - Coleman, Jared

AU - Kranakis, Evangelos

AU - Morales-Ponce, Oscar

AU - Opatrny, Jaroslav

AU - Urrutia, Jorge

AU - Vogtenhuber, Birgit

PY - 2020

Y1 - 2020

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M3 - Paper

AN - SCOPUS:85160077948

SP - 73

EP - 79

T2 - 32nd Canadian Conference on Computational Geometry, CCCG 2020

Y2 - 5 August 2020 through 7 August 2020

ER -

Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots

Conference

ASJC Scopus Subject Areas

Other files and links

Cite this