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Machine learning brings social skills to robots.

 Machine learning brings social skills to robots. 


Things like social skills are important for robots that are working with humans. The skills like saying "pardon me, I'm hurrying" are interactive methods to tell that robot has some kind of mission. If we are thinking the case that robot works in warehouses and collect the stuff from the shelves. 

There is needed to tell people if they are closing the road. As an example the case that the robot collects food. That requires cold storage robot should tell people that it is in a hurry or its load is warming. So the people should step away from it, or the food is going bad. 

That thing means the robot has not had the entire day. To wait for those people will step away from its route. This is one example where the robot should communicate with people. In some other examples, the people are standing in the working area of the welding robots without protective masks. And that means robots should tell that they should use dark glasses because of the welding radiation. 

But when we are thinking possibility that artificial intelligence supports the people in the cases like studies. There is the possibility that it would help the student to remember things like how to mark sources. And what kind of standard the student must use in the work. But the artificial intelligence can also follow what kind of sources the student will use for the thesis. 

That thing means that the AI recognizes the type of the sources and that they will fit to work. Then the AI can discuss with the student what are students' opinions of the sources are. The AI can also search how long the source has been open, and if there is something that should not be, the AI can tell that thing to a student. 

The use of machine learning is free. There are no limits in areas where that kind of system can use. The things like networked systems are also offering those systems to share their experiences. Things like choosing the route for driving would be the thing where the AI can give a piece of advice. The GPS and non-stop updating real-time data from the traffic control would make driving more comfortable. And if the system knows where is planned to stop. 

And other kinds of things that thing can also make driving safer and more economical than they are today. The accuracy and mass of data in the computer are determining the accuracy and how effective artificial intelligence can be. 

This kind of system bases the idea that the computers of the vehicles can exchange information about the times, what they are using for some trip. That thing means that the cars can change information and the traffic control computers can help to select the routes that are the most economic and fastest. The thing is that if the system knows the destiny of every vehicle and the driving speed on roads. 

The system can turn part of the traffic to other roads avoiding the rush. There are, of course, people who need to use a certain road but if the computer can route traffic with different routes that thing can make the driving more economic. Artificial intelligence can also give warnings if the tank or battery of the vehicle is empty. 

The system can search the next recharge point but if the destiny is near the system can also tell how long it would take to load the vehicle at the destiny. For making this kind of process the most comfortable as possible. The system requires so much data as possible. Things like stops and fast visits. Should load to the computer. And also the possibility to reload the battery in those places. Must be stored in the computer's memory. 


https://scitechdaily.com/new-machine-learning-system-gives-robots-social-skills/

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