Autonomous Mobile Robots (AMR): Can They Really Increase Productivity?

December 4, 2022
Natalie Thorburn

The race to be more productive is always on in today’s business world. In recent years, a new type of technology has been proposed to solve this never-ending problem: AMRs.

AMRs are designed to move around warehouses and factories, autonomously picking up and delivering products to humans or other machines. By using them, businesses can increase productivity while freeing up employees to do other tasks.

Robotic AMR can move and navigate around a workspace without the need for a human operator. They use sensors and mapping technology to create a virtual map of their surroundings and navigate to their destination.

A robotic ARM can operate in congested or narrow spaces that would be difficult for humans or other automated equipment to navigate. They can also change directions quickly and easily if they encounter an obstacle.

Are AMRs the Future of Productivity?

There is no question that AMRs are having a significant impact on the productivity of many industries. These machines are revolutionizing work from warehouses and factories to hospitals and schools. They are self-driving vehicles designed to move materials or products from one point to another.

These robots can navigate around people, making them ideal for busy workplaces. One of the most popularly known significant benefits is that they can operate 24/7, meaning they can work even when humans are not present. This allows businesses to get more work done in a shorter period.

In addition to their around-the-clock availability, they offer other advantages over traditional moving materials. For example, they can be programmed to take the most efficient route between two points, saving time and reducing equipment wear and tear.

They can also be used with other automation technologies, such as conveyor belts, to increase

productivity further. As they become more affordable and widespread, you will likely see even greater adoption of these machines in the years to come.

Ways AI-Powered Mobile Robots Will Help You Be More Productive


1. Increased reliability:

With traditional methods of transport, humans are often required to be

constantly present to ensure that products arrive at their destination safely and on time. These

machines can be left to complete their journeys without fear of error or disruption.

2. Increased speed: Another significant advantage is that they can travel much faster than humans, meaning that tasks can be completed in a fraction of the time.

3. Increased flexibility: They can be easily redirected to new destinations as and when required, making them much more flexible than other options.

Reasons to Start Using Autonomous Mobility Robots


1. AMRs can free up employee time for other tasks:

According to a study, using these machines can help businesses increase productivity by freeing up employees’ time for other tasks. The study found that the machine can help to reduce the time employees spend on tasks such as walking and searching for items by up to 50%. This can significantly impact businesses, particularly those with large or complex operations.

2. AMRs can boost morale:

This is because the machine can help reduce the tedious or repetitive work employees must do. This can lead to increased job satisfaction and motivation, leading to higher productivity levels.


Reasons AI and Robots Will Become More Important Soon


1. With the rapid pace of technological advancement, AI and robots will inevitably become increasingly important shortly.

2. The ever-growing demand for efficiency and productivity in the workplace will spur the development and adoption of these technologies.

3. The falling cost of sensors, processors, and other vital components will make it more feasible for businesses to invest in AI and robotics solutions.



The potential for mobile robots to increase productivity is evident. By automating tasks that human workers currently perform, these robots can free up time for employees to focus on higher-level tasks.

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