An effective simulated annealing for off-line robot motion planning

Andrea Figueroa, Elizabeth Montero, Maria Cristina Riff

Resultado de la investigación: Conference contribution

Resumen

The path planning problem using mobile robots has been a key issue on robotics since a couple of decades. Algorithms for robot motion planing should be fast, effective and adaptive to face the complexity of changing environments. In this work we propose an effective simulated annealing approach to find paths in different scenarios. Our approach allow us to find short and smooth paths in a variety of problems with different features and resolutions.

Idioma originalEnglish
Título de la publicación alojadaProceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017
EditorialIEEE Computer Society
Páginas967-971
Número de páginas5
Volumen2017-November
ISBN (versión digital)9781538638767
DOI
EstadoPublished - 4 jun 2018
Evento29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017 - Boston, United States
Duración: 6 nov 20178 nov 2017

Conference

Conference29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
PaísUnited States
CiudadBoston
Período6/11/178/11/17

Huella dactilar

Motion planning
Simulated annealing
Mobile robots
Robotics
Robots

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications

Citar esto

Figueroa, A., Montero, E., & Riff, M. C. (2018). An effective simulated annealing for off-line robot motion planning. En Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017 (Vol. 2017-November, pp. 967-971). IEEE Computer Society. https://doi.org/10.1109/ICTAI.2017.00148
Figueroa, Andrea ; Montero, Elizabeth ; Riff, Maria Cristina. / An effective simulated annealing for off-line robot motion planning. Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. Vol. 2017-November IEEE Computer Society, 2018. pp. 967-971
@inproceedings{37594464afe146bea5c4777242a8bdb6,
title = "An effective simulated annealing for off-line robot motion planning",
abstract = "The path planning problem using mobile robots has been a key issue on robotics since a couple of decades. Algorithms for robot motion planing should be fast, effective and adaptive to face the complexity of changing environments. In this work we propose an effective simulated annealing approach to find paths in different scenarios. Our approach allow us to find short and smooth paths in a variety of problems with different features and resolutions.",
keywords = "Mobile Robot, Path Planning, Robot Motion Planning, Simulated Annealing",
author = "Andrea Figueroa and Elizabeth Montero and Riff, {Maria Cristina}",
year = "2018",
month = "6",
day = "4",
doi = "10.1109/ICTAI.2017.00148",
language = "English",
volume = "2017-November",
pages = "967--971",
booktitle = "Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017",
publisher = "IEEE Computer Society",
address = "United States",

}

Figueroa, A, Montero, E & Riff, MC 2018, An effective simulated annealing for off-line robot motion planning. En Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. vol. 2017-November, IEEE Computer Society, pp. 967-971, 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, United States, 6/11/17. https://doi.org/10.1109/ICTAI.2017.00148

An effective simulated annealing for off-line robot motion planning. / Figueroa, Andrea; Montero, Elizabeth; Riff, Maria Cristina.

Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. Vol. 2017-November IEEE Computer Society, 2018. p. 967-971.

Resultado de la investigación: Conference contribution

TY - GEN

T1 - An effective simulated annealing for off-line robot motion planning

AU - Figueroa, Andrea

AU - Montero, Elizabeth

AU - Riff, Maria Cristina

PY - 2018/6/4

Y1 - 2018/6/4

N2 - The path planning problem using mobile robots has been a key issue on robotics since a couple of decades. Algorithms for robot motion planing should be fast, effective and adaptive to face the complexity of changing environments. In this work we propose an effective simulated annealing approach to find paths in different scenarios. Our approach allow us to find short and smooth paths in a variety of problems with different features and resolutions.

AB - The path planning problem using mobile robots has been a key issue on robotics since a couple of decades. Algorithms for robot motion planing should be fast, effective and adaptive to face the complexity of changing environments. In this work we propose an effective simulated annealing approach to find paths in different scenarios. Our approach allow us to find short and smooth paths in a variety of problems with different features and resolutions.

KW - Mobile Robot

KW - Path Planning

KW - Robot Motion Planning

KW - Simulated Annealing

UR - http://www.scopus.com/inward/record.url?scp=85048506701&partnerID=8YFLogxK

U2 - 10.1109/ICTAI.2017.00148

DO - 10.1109/ICTAI.2017.00148

M3 - Conference contribution

AN - SCOPUS:85048506701

VL - 2017-November

SP - 967

EP - 971

BT - Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017

PB - IEEE Computer Society

ER -

Figueroa A, Montero E, Riff MC. An effective simulated annealing for off-line robot motion planning. En Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. Vol. 2017-November. IEEE Computer Society. 2018. p. 967-971 https://doi.org/10.1109/ICTAI.2017.00148