A program initiated by the Defense Advanced Research Project Agency (DARPA) called 'Learning Applied to Ground Robots' (LAGR) is developing control algorithms that would allow a vehicle to safely travel cross-country. The University of Idaho with funding from the Office of Naval Research is participating in this program in which DARPA provided a vehicle having both sensors and supporting software for the sensors. We used the LAGR vehicle to help solve navigation problems that afflicts both underwater crawlers and ground vehicles. With the application of fuzzy logic and specialized software, we were able to successfully autonomously navigate in an unstructured environment to a specific target or location.
Developing Autonomous Vehicles That Learn to Navigate by Mimicking Human Behavior
2006
15 pages
Report
Keine Angabe
Englisch
Computers, Control & Information Theory , Navigation Systems , Bionics & Artificial Intelligence , Adaptive control systems , Autonomous navigation , Fuzzy logic , Land navigation , Optimization , Underwater vehicles , Robots , Learning machines , Ground vehicles , Autonomous vehicles , Lagr(Learning applied to ground robots) , Learning behavior , Unstructured environment
Adaptive mapping to navigate autonomous vehicles responsive to physical environment changes
Europäisches Patentamt | 2017
|