Today our machines have been able to help humans do many things, such as working with humans in factories, 3D printing, allowing doctors and patients to connect remotely, and so on. In the future, with the help of AI, robots can do more for people and make people's work and life more intelligent and convenient.
Let AI infuse robots
AI technology can promote the progress of robotics in two dimensions and promote the realization of the vision of future life. On the one hand, it is static, using AI to improve the intelligence of the machine, such as cognitive ability; on the other hand, it is dynamic, using AI to improve the physical movement ability of the robot.
And AI and robotics technology will complement each other. AI can give machines the ability to watch, speak, think, and even play games like humans. Machine learning allows machines to make predictions based on data; robots can connect virtual calculations with real-time physical movements.
Compared with life 20 years ago, computing has completely subverted the way we work, live, and relax. So in such a society where computing is everywhere, in which scenarios can robots help humans?
First, we can automate many items. For example, in the field of transportation, self-driving cars can help us reduce traffic accidents, achieve better, faster and safer transportation of people and things, and even take our parents and elders out to travel anytime and anywhere, so that they can live in their old age. Richer. If there are self-driving cars, we can also imagine self-driving wheelchairs, we can turn anything with wheels into automatic.
Second, we can integrate automation technology into smart devices. For example, by using a special wearable belt to let the blind person feel the outside world, or to identify surrounding objects on his behalf, and tell him whether there are obstacles in front of him, the blind person can safely go out for a walk alone.
The future of artificial intelligence and robotics
To make robots better serve humans’ lives, we need to understand that robots, like humans, not only need intelligence to guide how to complete tasks, but also need the ability to act so that they can complete various tasks, and they must also have good interactions. The ability of human interaction. These are the directions for us to improve robots in the future. I will give some examples below.
Regarding the intelligence of machines, today's robots cannot complete complex thinking and reasoning. We need to teach them to think and reason better. For example, we need to let self-driving cars judge by themselves how to deal with intersections, or like humans, they can drive smoothly on an unfamiliar road even without a map.
The manufacturing capability of robots is another challenge we face. In this regard, I am very much looking forward to everyone being able to make their own robots in the future. Imagine that we can pick a robot we want in a 24-hour convenience store. This robot can also be customized by ourselves. Even if I am not a robot expert, I can design this robot according to my own needs.
These specially customized robots can help us accomplish many things, such as using micro-robots to perform minimally invasive surgery on humans, placing medicines in the robots, allowing the robots to enter the human body, and directly delivering the medicines to the wounds to achieve precise medical treatment. Artificial intelligence can also help doctors perform medical diagnosis and auxiliary treatment, and so on. In the future, robots will be able to make more contributions to mankind. At the same time, we will also strive to make technology accessible to more people, so that people can benefit from AI and robotics on an equal footing.
In the future, we will have a variety of different types of robots. In order for these robots to be truly effective, we need to allow those who are not robot experts to simply use these robots.
In terms of human-computer interaction, we can use natural language processing technology to allow robots to better communicate with humans and improve the effectiveness of interaction. In addition to natural language processing, we will also explore other methods, such as connecting robots with human muscles, allowing the robot to automatically understand the user's intentions by detecting changes in human muscles. In short, humans and robots can collaborate very well.
Finally, we have to ask, how will robots develop in the future? One day in the future, can we directly control robots with our thoughts?
Generally speaking, it is more difficult. To receive a person's brain waves, we need to install more than 40 sensors on his head. These sensors evaluate brain wave activity at the same time. Each sensor receives a lot of data, and the brain waves are changing all the time.
However, we found a brain signal that can be well recognized by machine algorithms, and no matter what kind of language you use, what kind of thinking you have, this signal is shared by everyone, which opens up a fan for us. A new door full of potential.
We have also proved the effectiveness of this method through experiments. We let humans wear brainwave sensors, and let robots randomly classify two kinds of bottles. If the classification of the robot is wrong, the human brain will produce "wrong" information. In just a few hundred milliseconds, the brainwave sensor can detect this signal and send it to the robot, and the robot will immediately correct it. error. As a result, we have realized a possibility of directly controlling the machine with the brain.
In short, in the current era, we have many opportunities for artificial intelligence and robots to take on more tedious routine tasks for humans, so that humans can save more time to make strategic decision-making thinking.
For the real realization of this ideal, we must continue to study the principles behind human intelligence, and improve robots from the fields of science and engineering, so that the intelligence level of the machine is getting closer and closer to the human brain. To this end, we must have a computational mindset and use more advanced manufacturing methods to produce robots.
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