TY - GEN
T1 - Autonomous robotics self-localization using genetic algorithms
AU - Gutierrez, Fernando
AU - Atkinson, John
PY - 2009
Y1 - 2009
N2 - In this work, a new approach for robotics self-location using constrained genetic algorithms is proposed. The model uses a location estimation stage based on Kalman filters so as to redefine the search space and finds the most accurate current position of a robot. Experiments show the promise of the method to predict for robotic applications.
AB - In this work, a new approach for robotics self-location using constrained genetic algorithms is proposed. The model uses a location estimation stage based on Kalman filters so as to redefine the search space and finds the most accurate current position of a robot. Experiments show the promise of the method to predict for robotic applications.
UR - http://www.scopus.com/inward/record.url?scp=77949509633&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2009.30
DO - 10.1109/ICTAI.2009.30
M3 - Conference contribution
AN - SCOPUS:77949509633
SN - 9781424456192
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 167
EP - 170
BT - ICTAI 2009 - 21st IEEE International Conference on Tools with Artificial Intelligence
T2 - 21st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2009
Y2 - 2 November 2009 through 5 November 2009
ER -