Safe Control of Manufacturing Vehicles Research Towards Standard Test Methods
Roger V. Bostelman, William P. Shackleford, Geraldine S. Cheok, Kamel S. Saidi
The National Institute of Standards and Technology's Intelligent Systems Division has been researching several areas leading to safe control of manufacturing vehicles to improve AGV safety standards. The research areas include: - Automated guided vehicle (AGV) safety and control based on advanced two-dimensional (2D) sensors that detect moving, standard test pieces representing humans; - Ability of advanced 3D imaging sensors, when mounted to an AGV or forklift, to detect static and dynamic, ground and overhanging obstacles and test pieces representing humans and manufacturing equipment or materials; and - Manned forklift safety based on advanced 3D imaging sensors that detect visible and non-visible regions for forklift operators. Experiments and results in the above areas are presented in this paper. The experimental results will be used to develop and recommend standard test methods, some of which are proposed in this paper and to improve the standard stopping distance exception language and operator visibility language in AGV standards.
International Material Handling Research Colloquium 2012 (IMHRC 2012)
, Shackleford, W.
, Cheok, G.
and Saidi, K.
Safe Control of Manufacturing Vehicles Research Towards Standard Test Methods, International Material Handling Research Colloquium 2012 (IMHRC 2012)
, Gardanne, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911407
(Accessed October 23, 2021)