The 4G and 5G network co-operation with aerial vehicles

The 4G and 5G network co-operation with aerial vehicles

The ground-based data networks are not always suitable to cooperate with aerial vehicles. The problem with compatible is causing, because of the land-based data networks need different kind of roaming protocol than land-based communication equipment. The roaming means the ability to change the relay station automatically, and the system works that the network is locating the mobile device, and when the other support station turns to dominant, the station would be changed.

And the aerial vehicle has problems that the roaming must happen faster than with the ground vehicles, and the direction or angle of the vehicle is different. The normal data network is created for supporting the ground-based system, and the aerial vehicles can be in the shadow if they are flying over some areas.

The supporting- or relay stations of the network are normally in the places, where is straight visibility to the ground. But to the air is limits. If the station is below the eaves, the metal structure can cover the drone, which flies in the line where is a metal structure in the straight line between the support station and drone. When we are thinking about the possibility to control drones from another side of Earth by using civilian internet that is possible.

But in this case, the drone must equip with the program, which allows it to look for the signals independently if the network signal is gone. Or the drones can work in pairs or groups, where one drone is always keeping contact with the network, and then that drone would deliver the control signals from the internet to other drones.

There are many problems with that kind of thing. But if the quadcopters would be equipped with TERCOM and DSMAC-type systems, they could operate independently in the city areas. In this case, the aircraft or satellite can create the 3D-map image and the drones can use Lidars or other types of systems to observe the area.

Drone swarms and intelligent inertial systems

Some of those drones might be equipped with gyroscopes or inertial navigation systems. That system would record the track, and then it would fly back to the position, where it had last time the control signal. when we are thinking about the intelligent inertial system, the system needs only the gyroscope. And the other data that the system needs would get from propellers.

The system simply calculates how many times the propellers have been rotated during the time unit, and then the system would just fly back the movements, what it has taken. And then the computer just rotates the propellers as many times as it has been rotated during that distance.

So there is not necessarily needed the acceleration sensors at all. The acceleration sensor would be ineffective if it is used in the low-speed flight. But if we are using a laser-based system, what meters the range to the walls and other barriers, that kind of system can calculate the acceleration very effectively even in the low-speed flying.

Lidar is a very good tool for that purpose because it can use as the altimeter. But also normal, small size radar or sonar, what is similar, what is used in the mobile telephones for focusing cameras can be used for that thing. That system can also scan the ground and buildings.

Multiple sensors guarantee the success of the mission, but every drone must not have the same kind of sensor pack. And artificial intelligence makes those swarms very flexible.

The CCD-cameras can look at the environment by using the normal, and infrared frequencies. And those drones can also connect their computers to one bigger entirety, which makes it possible to connect their capacities to run those programs. The drones can also communicate with the satellite by using the GPS and satellite communication sets.

The thing is that only one drone must have the satellite communication set with a high-speed modem. That is so-called "master drone", what would deliver missions to the other and simpler drones. The thing is that the master drones would observe simpler drones, and if some of those "slave drones" would be lost contact, the master sends the relay drone to see, what is happening.

So, in this case, the drone swarm might have many types of members. Only a couple of members have all systems, and the others, what is operating in the "danger zone", where they can be damaged might be simpler. And those simpler drones might be located by using RFID-based triangular metering systems. That helps to keep the price of those systems lower.

How robots are recognized items?

How robots are recognized items?

When the robot is doing something, it must recognize a thing, what it handles, or it is useless. That means that a robot must have sensors, what it uses for recognizing the things, and those sensors can be everything. The simplest way to recognize items is just put every each bite an RFID (Radio-Frequency Identification) -sensor, which tells the robot what it is, and then robot just put the bite to the right basket.

This is enough if the bite should just move to one basket to another. Also, baskets can be equipped with RFID-sensors, which helps robots choose the right basket if there are multiple types of items to share in different baskets. Those things are effective, but the use of a robot is very limited and mechanic. But if there is a sensor under the table the robot hand can also pick up the item from the floor by using a very simple method.

The radio transmitters would just use triangle-metering for locating the dropped item, and the robot hand can pick it from floors. This idea is created for handling the radioactive material. The system looks at the sources of radioactive material by using the Geiger-meter, and that target can also find by using triangle metering. Then the robot cleaner can take dropped bites of radioactive material from the floors. This is one way to think about robotics.

But the thing is that if we want that robot is operating in the natural environment or on planet Mars and it should look for life, it must have a different kind of systems, what makes possible to look for fossils and other things automatically. That kind of system is needed, because, when Mars-rover would travel on that planet, it must react immediately, if it sees something, what might interest the researchers.

Artificial intelligence makes everything easier

Mars-rover must react independently if it sees something like green or something, what looks like layered stones, what might be at the waterfront. This means that the system must stop the run, and send the data to the Earth and the human operator would make a decision if the system would need to take samples or continue its journey. For that kind of mission, the system needs Lidars and cameras, which are delivering data from the object.

Those systems are modified versions of the DSMAC (Digital Scene-Mapping Area Correlation) systems, which are meant for targeting cruise missiles in their targets. In this system, which is used for searching fossils from Mars is a similar action procedure with the DSMAC systems. In the memory of artificial intelligence is stored in the images of the fossils, which is found on Earth.

And places where those fossils are also stored in the memory of those probes, and then they will compare those images with images, what are delivered by the sensors of the probes. If some images have similarities, the system would take a microscope and other images from that point, and send them to Earth for closer analyses. The artificial intelligence can make those missions easier to control.

A little bit more about the robot, what would be equipped with artificial brains

A little bit more about the robot, what would be equipped with artificial brains

https://controllingsociety.blogspot.com/

(Wikipedia)

Robots are not humans

When we are thinking about robots, what are equipped with artificial brains, we might think that this system operates like a human. If we would think the case, that the robot is equipped with the artificial neurons, we must remember that this kind of system is stable. It cannot create new connections between those silicone-carbon neurons, and that means that this system needs some kind of mass memory like flash memory for recording things and creating the databases, what it can benefit for creating the solutions for problems.

And the database is the thing, what makes the intelligence. The idea of intelligence is that thing would connect the stored data together, and then make the new models for the necessary actions. And in the case that the robot would collect data spontaneously by using sensors, that thing might be very dangerous, because that kind of things would cause that the robot would become the thing, what recognizes itself. The thing is that, when we are creating a massive database, we would offer change to create own connections between memory blocks. That process could be similar, is the learning thing robot or human.

Teaching the robot is similar process than teaching child

When we are thinking about the situation, where we are teaching robot for walking, we are facing the thing, that when the robot is recording things, the actions would become more independent in each time, when we are taking this robot out from laboratory for walking. In this kind of scenarios, the artificial intelligence would record the actions, what the controller would do, and the recording would happen in the natural conditions by walking with a robot at the streets.

But that process would also be supported by using computer game type workspace, where the programmer would fix the errors of the actions of the robot. That kind of thing is called hybrid learning. There the simulation supports the learning in the natural environment. This kind of things would be a very effective tool when the robots are learning actions, what are needed in complicated environments, like in cities. That means that when the robot is learning like a child, everything would be recorded, and the programmer must not write every movement to the console.

Why do robots learn chess easier than making sandwiches?

The thing what differences the chess-game from the sandwich is that there are strict regulars in the chess board. The computer must separate only two colors and the forms of the chess buttons. If we will want to create the chess-robot, what needs to operate by using the specific buttons, and that means it will need only the hand, that is equipped with RFID (Radio Frequency ID) sensors. Robot hand and other physical systems can be connected with every chess program, and the system can get the movements of the buttons from the database.

Then it can analyze the movements, and increase its own tactics by comparing the movements of the opponents and making the game simulations against those humans. and the thing is that the bigger database would make that program more intelligent and its knowledge of chess is increasing, which means that it can know more sophisticated tactics against human players. And the growing of databases is calling as a learning process. The big database would involve more game styles and movements, and the computer will connect them together for creating more and more new ways to play against other players.

The key is how to recognize things? 

The RFID system would tell the robot hand, where each button locates, and the thing, what the system must only know is the location of the hand, that it would not move button outside of the chessboard. And that thing can be made by teaching the movement of the hand, and there could also be small transmitters, which will locate the manipulator in the right place. The system can teach by putting the button in the hand, and then the operator would write the name of each button, and the system records the RFID signal, what it compares with the database, where the roles of the buttons have been stored.

But when we are starting to make sandwiches, that robot needs more information from the sensors. In the food cannot install the RFID sensors, and the robot must recognize the materials by using some other sensors. And the problem is that robot must know every single component like mayonnaise, sausages butter and other things like bread. Then it must take the right amount of the things and cut as an example of the sausages for the right size. And every movement and move track must be programmed to the system separately. Of course tools like knives can be RFID-marked, but the food can be recognized with image-id systems. And this makes this kind of thing very difficult for the computers, what are in the best with the limited logical problems like calculations.