NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Mobile Robot Control Framework: From Simulation to Reality
Published
Author(s)
Stephen B. Balakirsky, Frederick M. Proctor, Christopher J. Scrapper Jr, Thomas R. Kramer
Abstract
In order to expedite the research and development of robotic systems and foster development of novel robot configurations, it is essential to develop tools and standards that allow researchers to rapidly develop, communicate, and compare experimental results. This paper describes the Mobility Open Architecture Simulation and Tools Framework (MOAST). The MOAST framework is designed to aid in the development, testing, and analysis of robotic software by providing developers with a wide range of open source robotic algorithms and interfaces. The framework provides a physics-based virtual development environment for initial testing and allows for the seamless transition of algorithms to real hardware. This paper details the design approach, software architecture and module-to-module interfaces.
Proceedings Title
International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR 2008)
architectures, control framework, MOAST, Mobile robots
Citation
Balakirsky, S.
, Proctor, F.
, Scrapper, C.
and Kramer, T.
(2007),
A Mobile Robot Control Framework: From Simulation to Reality, International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR 2008), Venice, , [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=824717
(Accessed October 11, 2025)