Safe Control of Manufacturing Vehicles Research towards Standard Test Methods

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 automated guided vehicle (AGV) safety standards. The research areas include:  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 stationary or moving objects and test pieces on the ground or hanging over the work area; 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 blind spot language in AGV standards.