Grounding mechanism 1o1

 A DIKW pyramid consists of abstraction layers like Data, information and other. A grounding mechamism maps the items in the layer. In an example warehouse robot, the data layer cosnsits of sensor readings like GPS Coordinates, lidar distance, and battery capacity while the information layer consists of [tags] like "battery_full, north, obstacle_ahead".

The grounding mechanism generates the links between the entries. For example the lidar distcance of 10 cm is mapped to "obstacle_ahead" while the battery level of 10% is mapped to "Battery_empty".

In general, a grounding mechanism is some sort of matching game. it answers the question which situation is mapped to which description. Such a mapping is the core element of an advanced artificail intelligence.

To demonstrate why a matching game enables artificial intelligence let us assume an example. Suppose the human operator submits a command to the warehouse robot which is "move to the green area, grasp the small box on the left side, bring the box to the blue area, drop it into the shelf, then recharge your battery".

If the grounding mechanism is missing or was deactated, the command is interpreted as string with 144 characters. It wasn't formulated in the C/C++ programming langauge but it can be stored only in the main memory.

Suppose the robot has a builtin grounding mechanism, than its possible to parse the sentence word by word. The word "green" is matching to a certain RGB value, the word "box" is mapped to a certain shape in the camera, the word "shelf" is mapped to a picture of the shelf and so on. The parsing algorithm fetches a word from the sentences, and takes a lookup into the database to identify the item from the data layer of the DIKW pyramid. Understanding a sentence from a robots perspective has to do with matching items from the information layer to the data layer.