Cohort: critical science

Bruce L. Digney

doi:10.1117/12.720201

8 May 2007 Cohort: critical science

Bruce L. Digney

Proceedings Volume 6561, Unmanned Systems Technology IX; 65610G (2007) https://doi.org/10.1117/12.720201
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Unmanned vehicle systems is an attractive technology for the military, but whose promises have remained largely undelivered. There currently exist fielded remote controlled UGVs and high altitude UAV whose benefits are based on standoff in low complexity environments with sufficiently low control reaction time requirements to allow for teleoperation. While effective within there limited operational niche such systems do not meet with the vision of future military UxV scenarios. Such scenarios envision unmanned vehicles operating effectively in complex environments and situations with high levels of independence and effective coordination with other machines and humans pursing high level, changing and sometimes conflicting goals. While these aims are clearly ambitious they do provide necessary targets and inspiration with hopes of fielding near term useful semi-autonomous unmanned systems. Autonomy involves many fields of research including machine vision, artificial intelligence, control theory, machine learning and distributed systems all of which are intertwined and have goals of creating more versatile broadly applicable algorithms. Cohort is a major Applied Research Program (ARP) led by Defence R&D Canada (DRDC) Suffield and its aim is to develop coordinated teams of unmanned vehicles (UxVs) for urban environments. This paper will discuss the critical science being addressed by DRDC developing semi-autonomous systems.

Citation Download Citation

Bruce L. Digney "Cohort: critical science", Proc. SPIE 6561, Unmanned Systems Technology IX, 65610G (8 May 2007); https://doi.org/10.1117/12.720201

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KEYWORDS

Unmanned aerial vehicles

Unmanned vehicles

Control systems

Evolutionary algorithms

Algorithm development

Sensors

Artificial intelligence

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