Robotics Goes MOOC: Knowledge

The robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics, and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries, which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle, over time, produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.

To make robots and intelligent machines useful to humans, it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.