New MiR Cloud-based Software Improves Robot Fleets

MiR Insights is a new cloud application from Mobile Industrial Robots (MiR). Specifically, it provides robot fleet owners with precise and actionable insights that enable performance improvements, increased robot uptime, and more effective troubleshooting. As a result, it attains a better return on investment (ROI). 

As fleets of autonomous mobile robots (AMRs) grow, so does the demand for software tools to optimize performance and fleet management. To meet this demand, MiR announced the launch of MiR Insights. The new cloud-based software tool enables fleet owners to track and analyze the operations of their robots. It provides actionable insights that can improve the robots’ performance.

MiR Insights provides answers to questions such as: What was the overall mission effectiveness of the robot fleet this week? Are there specific areas in production where the robots encounter recurring challenges? How have the changes implemented on the factory floor last month impacted robot throughput?

In addition, the software allows fleet owners to easily access and share technical data for faster and more efficient troubleshooting.

“MiR Insights provides robot fleet users a much better understanding of the robots’ performance and how they interact with their physical environment,” said Walter Vahey, president, MiR. “This knowledge will enable our users to continue to improve and expand their installations more rapidly and further increase their ROI.”

Further, MiR Insights features data dashboards that monitor key performance indicators (KPIs) such as distance driven, completed missions, and robot utilization rate. Also, it features heatmaps that track robot activity over both time and physical locations and visualize areas with poor WiFi coverage and potential robot traffic bottlenecks. Moreover, data is stored securely in the cloud.

Microsoft Azure hosts MiR Insights and is used in connection with MiR Fleet, MiR’s fleet management software. MiR Insights reads data from MiR Fleet, but it does not interfere with fleet operations or individual robot control, or adjust fleet settings. The data interface is very flexible with options for data visualization as well as an API to port raw data for use in external systems. Moreover, the architecture of MiR Insights supports a continuous evolution in performance based on customer experience, all focused on improving AMR fleet operations.