An effective simulated annealing for off-line robot motion planning

Andrea Figueroa, Elizabeth Montero, Maria Cristina Riff

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferencia

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 originalInglés
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
EstadoPublicada - 4 jun 2018
Evento29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017 - Boston, Estados Unidos
Duración: 6 nov 20178 nov 2017

Conferencia

Conferencia29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
PaísEstados Unidos
CiudadBoston
Período6/11/178/11/17

Áreas temáticas de ASJC Scopus

  • Software
  • Inteligencia artificial
  • Informática aplicada

Huella Profundice en los temas de investigación de 'An effective simulated annealing for off-line robot motion planning'. En conjunto forman una huella única.

  • 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