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Page 14 - RoboGenius Pro C5
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    Edge computing: Edge computing lets robots make fast decisions by processing
                         data locally, instead of sending it to a remote server. This allows robots to react

                         quickly to changes in their surroundings, such as when a factory robot has to
                         adjust its movements in real-time.

                         Neural  networks: Neural networks are the brain like systems in AI that help

                         robots make decisions. These networks allow robots to mimic how humans think
                         and make choices by analysing large amounts of data.

                         Speech recognition: This technology  allows  robots  to  understand spoken

                         language.  It is  used  in smart  assistants  like  Siri  or Alexa, allowing robots  to
                         respond to voice commands and make decisions based on what they hear.

                      ROBOTICS AND AI TOGETHER

                      Robotics and AI are closely related, but they do
                      different things. Robotics  focuses  on building
                      machines,  like  robotic  arms or drones, to  do

                      tasks.  These  robots  usually  follow instructions
                      that are already programmed into them.

                      AI, on the other hand, is like the brain of the robot.
                      It helps robots think, learn and make decisions.

                      When robots and AI are combined, the result is a

                      smart robot that can see what’s happening around it.

                      Examples of AI in Robotics

                      Some of the examples of AI in robotics are:

                          Self-driving cars: Self-driving cars, like those

                         made by Tesla, use advanced AI to drive
                         without a human behind the wheel. These
                         cars are equipped with cameras, sensors and

                         radar, which allow them to see the road and
                         detect things like pedestrians, other vehicles

                         and traffic signs. Using AI, the car makes
                         decisions on its own, such as when to turn,
                         speed up, slow down or stop.

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