Effect of Human-Robot Interaction on the Fleet Size of AIV Transporters in FMS
Authors : Lancelot Martin (Faculty of engineering and science), Mario Gonz´alez-Romo (College of Engineering), M'hammed Sahnoun (LINEACT), Belgacem Bettayeb (LINEACT), Naihui He (College of Engineering), James Gao (Faculty of Engineering and Science)
Conférence : Communications avec actes dans un congrès international - 26/05/2021 - 2021 1st International Conference On Cyber Management And Engineering
The execution of material handling tasks using autonomous guided vehicles (AGVs) has proven a real success during the last decade. Nevertheless, the installation of AGVs is costly as it needs to modify the workshop’s configuration by defining dedicated movement zones. Recently, more flexible and collaborative mobile robots known as autonomous intelligent
robots (AIV) can be used in manufacturing systems. This new
generation of intelligent mobile robots does not need specific
zones and can interact with unexpected or mobile obstacles
such as human operators. This paper focuses on AIV fleet
size definition in a variable and unexpected environment with
humans while keeping AIV assigned transportation tasks on
time. A simulation that model the complexity of the AIV travel
time estimation under the mentioned circumstances and the
improvement brought by IoT, Big Data and sensors by using
them as the real-time data source is developed.