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Artificial Intelligence - AI
That is a good definition, but in our scenario, it is important to emphasize the role of AI in providing robots with the ability to make decisions based not only on what they have been programmed to do but learning and adapting to new and different situations.
When the robot helpers are empowered with AI, they can react and choose from a number of possible outcomes based on the information gathered. In this aspect, AI helps the robot act more like a human by providing a higher degree of autonomy.
In order for AI to learn it relies on a process called Machine Learning.
Machine Learning Flow
Artificial Intelligence often uses something called Machine Learning (ML). This is a feedback loop that allows the system to learn from its experiences. There are four basic parts to the ML feedback loop: Training Data, The Algorithm, Results, and Data Input.
The result provided by the system after processing the data varies depending on the type of AI system being utilized. The most common types of results are:
- Predictions. eg. The weather, likely customer behaviour or engagement.
- Generation. eg. New text, image, or song.
- Analysis. eg. Checking for product quality in a production line.
Our helper robot is now equipped with Artificial Intelligence, enabling it to make decisions and learn from its environment. In the next section, we look at the Space Challenges our robot will have to overcome.