Autonomous urban reconnaissance ingress system (AURIS): providing a tactically relevant autonomous door-opening kit for unmanned ground vehicles

David J. Shane; Michael A. Rufo; Matthew D. Berkemeier; Joel A. Alberts

doi:10.1117/12.919251

25 May 2012 Autonomous urban reconnaissance ingress system (AURIS): providing a tactically relevant autonomous door-opening kit for unmanned ground vehicles

David J. Shane, Michael A. Rufo, Matthew D. Berkemeier, Joel A. Alberts

Author Affiliations +

Proceedings Volume 8387, Unmanned Systems Technology XIV; 838712 (2012) https://doi.org/10.1117/12.919251
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

The Autonomous Urban Reconnaissance Ingress System (AURIS™) addresses a significant limitation of current military and first responder robotics technology: the inability of reconnaissance robots to open doors. Leveraging user testing as a baseline, the program has derived specifications necessary for military personnel to open doors with fielded UGVs (Unmanned Ground Vehicles), and evaluates the technology's impact on operational mission areas: duration, timing, and user patience in developing a tactically relevant, safe, and effective system. Funding is provided through the US ARMY Tank Automotive Research, Development and Engineering Center (TARDEC) and the project represents a leap forward in perception, autonomy, robotic implements, and coordinated payload operation in UGVs. This paper describes high level details of specification generation, status of the last phase of development, an advanced view of the system autonomy capability, and a short look ahead towards the ongoing work on this compelling and important technology.

Citation Download Citation

David J. Shane, Michael A. Rufo, Matthew D. Berkemeier, and Joel A. Alberts "Autonomous urban reconnaissance ingress system (AURIS): providing a tactically relevant autonomous door-opening kit for unmanned ground vehicles", Proc. SPIE 8387, Unmanned Systems Technology XIV, 838712 (25 May 2012); https://doi.org/10.1117/12.919251

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KEYWORDS

Robots

Reconnaissance

Robotics

Reconnaissance systems

Unmanned ground vehicles

Robotic systems

Buildings

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