6G and the leap of smart robots
At large-scale technology exhibitions such as Mobile World Congress (MWC), the dense appearance of robots once made many people question why a mobile event is flooded with automation machines? The answer lies in the future of connectivity, where robots and new generation telecommunications networks are closely linked.
In recent years, robots have made clear progress, from industrial machines to human-shaped robots serving life.
However, technology experts believe that the real potential of robots will only be unlocked when 6G technology (expected to become popular after 2030) officially comes into operation.
When telecommunications networks become robotic "sensors
One of the biggest differences of 6G is its ability to operate like a giant sensor network.
Instead of just transmitting data, this network can help robots observe and understand the surrounding environment in real time.
Thanks to that, robots not only rely on individual sensors but also take advantage of data from the entire ecosystem, from cameras, smart devices to other robots.
This is especially important in complex environments such as factories, stores or crowded urban areas.
Along with that, the extremely high speed and low latency of 6G also allow processing artificial intelligence tasks almost instantly. Robots can make decisions faster, more accurately and more energy-efficiently than current networks.
From individual activities to "collective intelligence
The biggest breakthrough that 6G brings is the ability to connect robots into a coordinated system. Instead of each robot working independently, they can share data, plan and support each other.
For example, in the retail industry, a robot to unload goods and a robot to arrange shelves can continuously exchange information to optimize the process. This is a form of long-term planning, where robots not only handle immediate tasks but also understand the overall context.
This ability helps robots get closer to the way humans think, which is to both react to the present and predict the future.
Domestic robots still need more time
Not only in industry, this model can also be expanded into family life. Robots will become part of the smart device ecosystem, interacting with phones, cameras or other IoT devices.
However, the biggest challenge is still the ability to learn from real data. Seemingly simple tasks such as pouring coffee or holding objects require very high accuracy, reflexes and adaptability.
Experts believe that it will take many more years for robots to be able to flexibly handle everyday situations, especially in complex environments like the family.
Wait 6 o'clock but don't stand still
Although 6G is not yet popular before 2030, companies are still taking advantage of existing resources to develop robots. This will be a training phase, helping robots improve their skills and be ready for a leap forward when 6G appears.
In the future, when the connectivity infrastructure is strong enough, robots can become continuously learning entities, constantly updating knowledge from millions of different environments.
