Autonomous off-road navigation of robotic ground vehicles has important applications on Earth and in space exploration. Progress in this domain has been retarded by the limited lookahead range of 3-D sensors and by the difficulty of preprogramming systems to understand the traversability of the wide variety of terrain they can encounter.
Learning for autonomous navigation
Neural Information Processing Systems ; 2005 ; Vancouver, British Columbia, Canada
2005-12-01
Conference paper
No indication
English
Learning for Autonomous Navigation
NTRS | 2005
|Q-Learning for Autonomous Vehicle Navigation
IEEE | 2023
|Autonomous Navigation Through Case-Based Learning
British Library Conference Proceedings | 1995
|