The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is 'to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments.' The mobility requirement for unmanned ground vehicles operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicles dynamics, and learn by experience. The primary focus of the paper is to present the research tools, topics, and plans to improve the autonomy and mobility of unmanned ground vehicles operating in urban settings to assist the Canadian Forces in future urban operations.
Intelligent Mobility Research at Defence R&D Canada for Autonomous UGV Mobility in Complex Terrain
2007
15 pages
Report
Keine Angabe
Englisch
Computers, Control & Information Theory , Bionics & Artificial Intelligence , Robotics , Learning machines , Artificial intelligence , Autonomous navigation , Algorithms , Degrees of freedom , Computer vision , Drones , Urban areas , Research management , Adaptive systems , Ground vehicles , Unmanned , Canada , Mobility , Ugs(Unattended ground sensors) , Nato furnished , Foreign reports , Intelligent mobility , Mht(Micro hydraulics toolkit) , Perception systems , Vslam(Vision based simultaneous localization and mapping) , Object recognition
Intelligent Mobility Research at Defence R&D Canada for Autonomous UGV Mobility in Complex Terrain
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