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Page 37 - Ai Robogenius
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    Ask AIRO
                          What happens if a robot has sensors but no AI to process the data?

                     TYPES OF AI IN ROBOTICS

                     Artificial  Intelligence  (AI)  in robotics  helps robots  think, learn  and make  decisions,  much like
                     humans. Different types of AI are used in robots depending on how advanced they are and the
                     tasks they need to perform. Let’s explore the main types:

                     1.  Reactive AI:  Reactive AI enables robots to perform simple tasks by reacting to their
                        surroundings. These robots don’t learn from the past but follow a set of instructions to
                        complete their job.
                          Example: A robot that sweeps the floor following a fixed pattern, without learning anything

                        about its environment.
                     2.  Cognitive AI: Cognitive AI allows robots to think and make decisions like humans. They can
                        remember information, learn new things and adapt to different situations.

                        Example: A robot that learns to avoid obstacles as it moves around a room.
                     3.  Learning AI (Machine Learning): Learning AI enables robots to improve at tasks by learning
                        from experience. The more data they receive, the smarter they become.

                          Example: A robot  that  assembles  parts  more efficiently  each  time  by  learning from past
                        attempts.
                     4.  Decision-making  AI:  Decision-making  AI  helps  robots  make  quick  decisions  based  on
                        information from their environment.

                          Example: A robot that chooses the safest path to travel when avoiding obstacles or other
                        people.
                     5.  Natural Language Processing (NLP) AI: NLP allows robots to understand and communicate
                        with humans. This type of AI enables robots to recognise and respond to speech.

                        Example: A robot that can answer questions or give directions using voice commands.
                     6.  Hybrid AI: Hybrid AI combines different types of AI to make robots more flexible and capable
                        of performing a variety of tasks. It integrates learning, decision-making and other AI types
                        together.

                          Example: A robot that can both learn from its surroundings and make decisions based on
                        expert knowledge.

                                                               John Deere's hybrid AI in farming
                                                SMART       equipment has increased crop yield by
                                                SPARK
                                                          10-15% and reduced resource use by 20%.

                                                                                             Robotics with AI
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