Robotics before the year 2000 was dominated by computer science and mathematics. The published journal articles during this period are showing a deep understanding of hard science to analyze and solve robotics problems. There are well formulated mathematical equations and highly efficient algorithms available which were implemented as computer programs. Unfortunately, this close relationship to mathematics and computer science resulted into failed projects.
There was a paradigm shift available in robotics research after the year 2000. This was done by a redistribution of the priorities. Former mathematics centric robotics research has been questioned by new disciplines which were Linguistics and motion capture. From a perspective of classical mathematics, modern publication about robotics are showing a lack of knowledge. The average paper about grounded language mentions mathematical optimization only as a side note in favor of a longer introduction into the importance of natural language for activity recognition.
Robotics after the year 2000 is mostly an interdisciplinary approach in which the sub disciplines are explored only with a superficial knowledge. In exchange more science disciplines are recognized as important to enable powerful robots.
Robotics before the year 2000 had a lack of interaction with the environment. A strong focus on mathematics and hard science results into batch mode algorithms which are operating independent from external influences. The bias of mathematics is to compress the reality into algorithms and numbers by ignoring sensor data.
In contrast, robotics from 2000-2020 were influenced by social robotics which puts a strong focus on human to robot interaction. This interaction is realized with speech enabled interfaces and motion capture to enable co-bots. By definition, social robotics are interactive machines which are not programmed with algorithms but they perceive commands and facial expression from humans.
The disciplines math and computer science can be seen as the backend of a robot while linguistics and motion capture are the frontend.
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