Forklifts and automated guided vehicles are useful tools for the manufacturing industry. With regard to safety of workers (and equipment) near industrial vehicles, there are issues when using either manned or automated powered industrial vehicles in factories and distribution facilities. There has also been recent published information about automated guided vehicle (AGV) accidents where the sensors onboard did not detect nearby workers. The Mobile Autonomous Vehicle Obstacle Detection/Avoidance (MAVODA) Project at the National Institute of Standards and Technology (NIST) has been researching methods to improve safety standards for AGV's, automated functions for manned powered industrial vehicles, and forklift operator visibility. The MAVODA Project has addressed specific areas of safety standards by developing test methods that could potentially lead to improving these standards and to provide safe control of manufacturing vehicles, whether manned or unmanned. This article briefly describes project activities.
Citation: Material Handling and Logistics Magazine
Pub Type: Others
automated guided vehicle (AGV), ANSI/ITSDF B56 standards, ISO/FDIS 13564-1, forklift safety, semi-autonomous, visibility