Author(s)
Christopher J. Scrapper Jr, Stephen B. Balakirsky, Elena R. Messina
Abstract
Urban Search and Rescue Simulation (USARSim) is an open source package that provides a high-resolution, physics based simulation of robotic platforms. The package provides models of several common robotic platforms and sensors as well as sample worlds and a socket interface into a commonly used commercial-off-the-shelf (COTS) simulation package. Initially introduced to support the development of search and rescue robots, USARSim has proved to be a tool with a broader scope, from robot education to human robot interfaces, including cooperation, and more. During Robocup 2006, a new competition based on USARSim will be held in the context of the urban search and rescue competitions.The Mobility Open Architecture Simulation and Tools (MOAST) is a framework that builds upon the 4-D Real-time Control System (4D/RCS) architecture to analyze the performance of autonomous vehicles and multiagent systems. MOAST provides controlled environments that allow for the transparent transference of data between a matrix of real and virtual components. This framework is glued together through well-defined interfaces and communications protocols, and detailed specifications on individual subsystem input/output (IO). This allows developers to freely swap components and analyze the effect on the overall system by means of comparison to baseline systems with a limited set of functionality. When taken together, the combined USARSim/MOAST system may be used to provide a comprehensive development and testing environment for complex robotic systems.
Proceedings Title
SPIE Defense and Security Symposium| | | SPIE
Conference Dates
April 17-21, 2006
Conference Title
SPIE Defense and Security Symposium
Keywords
autonomous, control system, intelligent systems, RCS, robots, simulation
Citation
Scrapper, C.
, Balakirsky, S.
and Messina, E.
(2006),
MOAST and USARSim A Combined Framework for the Development and Testing of Autonomous Systems, SPIE Defense and Security Symposium| | | SPIE, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=824554 (Accessed April 28, 2026)
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