How human is the future of robots?

 The future of robot

* Header photo credit: Cyan Robot

Robot is constantly evolving and machine learning and artificial intelligence technologies are designed to make robots more sophisticated and advanced than ever. However, robots should not be seen as intelligent beings or intelligent things, which is a trap that many people fall into.

Instead, think of robotics affecting your life as a computer. Your computer can't solve general questions, and neither can robot. But if you know its purposes and make specific requests for it in a clear and understandable way, you will perform repetitive tasks effectively.

Robotic arms

 Do more robotic arms mean less human work? Or more efficient manufacturing?

These are questions that we get asked a lot. However, it is clear that more robotic arms do not mean less human work. In fact, they can lead to more humane job. According to a reporst from the World Economic Forums, robots could displace 75 million jobs worldwide by 2022, but over time, they will create a positive net result of 133 million!

Take the example of a spreadsheet. Before its existence, accountants spent a lot of time adding numbers manually. The advent of the spreadsheet made life much easier for accountants, who could now spend their time making informed business decisions, improving communications, increasing reporting, and optimizing efficiency.

These advances increased profitability, which in fact created many more jobs, although programmatically the responsibility of the person who added the numbers no longer exists.

The idea that robots are successful to come and "take everyone's job" is wrong. In detail, the future of robots and humans go hand in hand.

Present and future applications of automation

A funny thing occurs when you take motors and put them in a configuration that looks like an arm. People suddenly humanize him and think he is somehow self-sufficient.

Yes, in the future, automatons will be functionally capable of handling most, if not all, automation. Though, we are still a extended way from several major breakthroughs in machine learning, and even then there will be limits.

Here's another historical example of context. There was a time when weekends on the job market weren't like today. Then came Henry Ford and his assembly line model capable of producing an incredible number of cars in a short period of time. So there was a lot more flexibility.

The workforce is constantly changing and humans are adapting to it. If and when robots in the future reach the point where they can do most of the things humans do for themselves, we will adapt again. The development of the work will continue. It may give us more time to pursue our passions and hobbies.

Robotic fleets should empower humans

When it comes to useful fleets, you have to start with useful applications. Make sure the robots are doing things with precision and precision and that they are doing them reliably. Next, we need to ensure that we manage them by looking at log information sets, troubleshooting, and running scans. Managing a fleet of robots effectively is about taking a problem from a robot and passing it to the right person finished a smart alert system.

In fact, we are already seeing robotic fleet deployments like this in spaces like hospitals and car manufacturing with great success. We use robots to solve previously unsolvable problems, like cleaning up all the trash in the marine. This is only likely with fleets of robots working together to build a better life for persons.

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