Robotic disaster recovery efforts with ad-hoc deployable cloud computing

Jeremy Straub; Ronald Marsh; Atif F. Mohammad

doi:10.1117/12.2018451

6 June 2013 Robotic disaster recovery efforts with ad-hoc deployable cloud computing

Jeremy Straub, Ronald Marsh, Atif F. Mohammad

Proceedings Volume 8711, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XII; 87110Q (2013) https://doi.org/10.1117/12.2018451
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Autonomous operations of search and rescue (SaR) robots is an ill posed problem, which is complexified by the dynamic disaster recovery environment. In a typical SaR response scenario, responder robots will require different levels of processing capabilities during various parts of the response effort and will need to utilize multiple algorithms. Placing these capabilities onboard the robot is a mediocre solution that precludes algorithm specific performance optimization and results in mediocre performance. Architecture for an ad-hoc, deployable cloud environment suitable for use in a disaster response scenario is presented. Under this model, each service provider is optimized for the task and maintains a database of situation-relevant information. This service-oriented architecture (SOA 3.0) compliant framework also serves as an example of the efficient use of SOA 3.0 in an actual cloud application.

Citation Download Citation

Jeremy Straub, Ronald Marsh, and Atif F. Mohammad "Robotic disaster recovery efforts with ad-hoc deployable cloud computing", Proc. SPIE 8711, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XII, 87110Q (6 June 2013); https://doi.org/10.1117/12.2018451

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