Paper Info
Title
Validation of a Dynamic Planning Navigation Strategy Applied to Mobile Terrestrial Robots.
Abstract
This work describes the performance of a DPNA-GA (Dynamic Planning Navigation Algorithm optimized with Genetic Algorithm) algorithm applied to autonomous navigation in unknown static and dynamic terrestrial environments. The main aim was to validate the functionality and robustness of the DPNA-GA, with variations of genetic parameters including the crossover rate and population size. To this end, simulations were performed of static and dynamic environments, applying the different conditions. The simulation results showed satisfactory efficiency and robustness of the DPNA-GA technique, validating it for real applications involving mobile terrestrial robots.
Year
DOI
Venue
2018
10.3390/s18124322
SENSORS
Keywords
Field
DocType
genetic algorithms,mobile robots,autonomous navigation,dynamic planning
Systems engineering,Electronic engineering,Dynamic planning,Engineering,Robot
Journal
Volume
Issue
ISSN
18
12.0
1424-8220
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Caroline A D Silva100.34
Átila V F M de Oliveira200.34
M. A.C. Fernandes3158.23