Knowledge-driven robotics is particularly at home in the fields of artificial intelligence, automation and robots. This term describes a new generation of robots that not only stubbornly execute pre-programmed processes, but can also make decisions based on knowledge and experience.
Instead of just following fixed commands, a knowledge-driven robot collects information from its environment, processes it and applies its stored knowledge to solve problems independently. This makes it particularly flexible and adaptable. Through machine learning, the robot's knowledge improves over time - it "learns" from experience.
An illustrative example: In a modern factory, a knowledge-driven robot can recognise when a conveyor belt is blocked. It knows what options are available to rectify the fault and selects the best solution. This means that humans no longer have to intervene in every minor incident.
Knowledge-driven robotics makes production processes more efficient and helps to avoid errors. It is a decisive step for smart factories of the future and an important building block for Industry 4.0.
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