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Best in Class: Leveraging Robot Performance Standards in Academic Competitions to Encourage Development and Dissemination

Published

Author(s)

Raymond Sheh, Adam S. Jacoff

Abstract

Standard test methods and academic competitions share much in common. We detail how we use standard test methods to promote education, research, development and dissemination among the academic community. Since 2014, we have used competitions and open source robot designs to focus students, and particularly high school students, on the challenges of emergency response and public safety robotics. Our two main initiatives are the Rapidly Manufactured Robot Challenge (RMRC), which forms part of the RoboCup Rescue Robot League (RRL), and the Open Academic Robot Kit (OARKit). The RRL and RMRC leverages Standard Test Methods for Response Robots, developed under ASTM International Subcommittee E54.09 on Homeland Security Applications: Response Robots. Collaborators in the development of these consensus standards include the US Department of Homeland Security (DHS), the US National Institute of Standards and Technology (NIST) and ASTM International (formerly American Society for Testing and Materials), under the ASTM International Subcommittee E54.09 on Homeland Security Applications: Response Robots. These standard test methods effectively communicate the challenges of the domain, focusing research and development on open problems. By measuring the performance of prototypical implementations in a consistent, comparable manner, standard test methods also allow students to compare performance with each other, as well as with commercial, deployed robots. The OARKit aims to capitalize on the ease of comparison and collaboration that comes with the use of standard test methods by lowering the resource and expertise barriers for entry into response robotics research. This family of robot designs form ideal starting points for new and existing teams to enter the RMRC. Teams build these robots by following basic instructions and then improve them in their area of expertise. The results are measured in competition and disseminated to other teams.
Proceedings Title
ASTM STP1614 on Symposium on Homeland Security and Public Safety: Research, Applications and Standards
Conference Dates
June 28-29, 2018
Conference Location
San Diego, CA, US

Keywords

Robot Competitions, Response Robotics, Education

Citation

Sheh, R. and Jacoff, A. (2019), Best in Class: Leveraging Robot Performance Standards in Academic Competitions to Encourage Development and Dissemination, ASTM STP1614 on Symposium on Homeland Security and Public Safety: Research, Applications and Standards, San Diego, CA, US, [online], https://doi.org/10.1520/STP161420180052 , https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927880 (Accessed April 19, 2024)
Created October 31, 2019, Updated February 23, 2022