Adaptive State

Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state

Autores:
Tipo de recurso:
Book
Fecha de publicación:
2016
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16835
Acceso en línea:
https://www.ksp.kit.edu/9783731505808
http://hdl.handle.net/20.500.12010/16835
Palabra clave:
Ciencias de la computación
Robots móviles
Conducción autónoma
Rights
License
Abierto (Texto Completo)
Description
Summary:Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state