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4 Challenges Enterprise Companies Face For Robotics At Scale


When it comes to robotics at scale within large enterprise companies, it can feel as if there is a new challenge coming around every corner. To get more news about Robotics as a Service, you can visit glprobotics.com official website.

For many large enterprises, automation is still ramping up and working through testing stages, meaning planning for the future is top priority. It always gives the opportunity to predict certain issues that may occur operating robotics at scale so that they can be met with a comprehensive plan.

Operating larger fleets can present an entirely new set of obstacles than are faced by mid-market companies that utilize smaller fleets. From a higher standard of security to compliance, scalability, and customization, operations must proceed at a higher level of efficiency, despite these challenges, from start to finish of each task.

But how can enterprises expect to run fleets smoothly when so many needs each present an issue?

Although growing pains are expected when scaling and operating larger fleets of robots, navigating them does not have to be so difficult that it delays productivity. Solutions do exist to help ease the impact on operations and help operators invest more in the success of their robots. Let’s take a look at some of the most common challenges enterprises face with robotics at scale.
At large companies, security and compliance often dictate which tools teams can use, with cloud-based software being especially tricky.

An air-gapped facility, such as a nuclear power plant, requires that software be deployed locally. Similarly, a hospital might have specific requirements around where data resides in order to be HIPPA compliant, something that can pose a change for connected robotic fleets.

The need for higher security isn’t the only reason the cloud doesn’t meet an enterprise’s data needs: gaps in connectivity and lack of bandwidth also rule out the cloud as a viable option.

The solution? Local deployments. By running a platform like Formant on a self-hosted server, enterprises have the ability to store data from whichever location robots are working in.

To help companies bring their entire infrastructure directly onto a local server, Formant offers on-premise deployment. This feature provides all of our core functionality with additional benefits including the ability to comply with data requirements, use the platform on a private network with limited or no connectivity, and data flexibility. Robotic devices generate an enormous amount of data that can be used for root cause analysis, speeding time to deployment, and performance optimization. This data is one of the most important assets for any robotic fleet, therefore enterprises need to ensure it's being stored properly to be used however the team needs it.

Most enterprises have their own set of tools for manipulating and analyzing data, but challenges arise when disparate tools aren’t connected, creating data silos and manual work just to get value out of the data that is collected. By limiting where they can manipulate data, the enterprise may not be able to move nearly as efficiently or quickly as they need to.