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.
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.
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