The new Fleet Operations Workspace (FLOW) Core 2.1 software enables short-term introduction of mobile robots. This is achieved through running data analysis, simulation functions and integrated control of multiple robot types.
The FLOW Core 2.1 software from OMRON clarifies installation efficiency and issues before the actual installation of mobile robots. Thanks to a fleet simulation function, start-up is quick. It also enables integrated control of multiple types of mobile robots with different payloads, eliminating the complexity of building a system for each type.
Even after the system is installed, it is easy to collect travel data and identify bottlenecks, making it possible to visualize the gap between the effects of the system and those targeted at the time of installation, and improve travel efficiency. This shortens the adjustment and verification period of the mobile robot, and allows the user to immediately experience the effects of transport automation, supporting the shift to smart factories in the manufacturing industry. These functions can also be used with mobile robots that have already been installed by updating the existing software to FLOW Core 2.1.
Travel data visualization and analysis functions (FLOW iQ)
FLOW iQ visualizes information such as heat maps (where autonomous transfer robots are stagnating), path maps (where automated transfer robots are traveling), and robot usage rates (activity analysis) based on travel results. FLOW iQ makes it easy to troubleshoot complex fleets and supports continuous improvement.
Fleet simulation function
Simulate the workflow and travel volume of a fleet of autonomous transport robots (the ability to control multiple mobile robots as a swarm) in digital space without actually deploying the robots. Potential bottlenecks can be identified, implementation time can be shortened, and workflows can be optimized.
Integrated Fleet Control Function for Multiple Models (MobilePlanner6)
Enables customers to easily build fleets that combine multiple sizes and payloads, and improve manufacturing throughput by controlling them in an integrated manner.