Researchers at Defence R&D Canada- Suffield, under the Autonomous Land Systems (ALS) and Cohort projects, have been working to extend/enhance the capabilities of Unmanned Ground Vehicles (UGVs) beyond tele-operation. The goal is to create robotic platforms that are effective with minimal human supervision in outdoor environments. This report is a summary of the progress made in high level vehicle control, specifically the implementation and testing of algorithms providing point-to-point navigation and decision making capabilities for UGVs. To reach goals by traversing unknown terrain requires a number of navigation functions, including path tracking, obstacle avoidance, path planning and decision making modules. This report presents details of the theoretical underpinnings, the software design architecture, and results of implementing autonomous navigation and decision making software on a robotic platform, given competing priorities and limited sensing technologies.
Navigation and Decision Making Architecture for Unmanned Ground Vehicles: Implementation and Results with the Raptor UGV
2007
102 pages
Report
No indication
English
Algebra, Analysis, Geometry, & Mathematical Logic , Computer Software , Computers, Control & Information Theory , Transportation , Navigation Systems , Algorithms , Autonomous navigation , Computer programs , Ground vehicles , Robotics , Unmanned , Planning , Reasoning , Tracking , Collision avoidance , Decision making , Information processing , Ugv(Unmanned ground vehicles) , Autonomy , Controllers , Global path planning , Local navigation , Obstacle avoidance , Path planning , Path tracking
Intersection navigation for unmanned ground vehicles
SPIE | 1996
|Autonomous road navigation for unmanned ground vehicles
SPIE | 1995
|Review and Outlook of Decision-Making Methods in Unmanned Ground Vehicles
Springer Verlag | 2022
|Global Vehicles - Raptor concept gobbles ethanol
Online Contents | 2008