Autonomy Changes Everything. Are You Ready?

The word automaton comes from the Greek automatos, meaning “that which acts by itself.” Originally, it did not refer to a sophisticated machine but to a fascinating idea: an object capable of acting without continuous human guidance. From the same linguistic root comes the word autonomy. Behind these two words lies the same ambition: progressively transferring action, and ultimately decision-making, from humans to machines.

The history of robotics is therefore not simply the story of increasingly capable machines. Above all, it is the story of a profound transformation in the relationship between humans and technology.

In the beginning, every movement had to be controlled manually. The robot was merely a mechanical extension of the human hand. A joystick or remote controller directed each of its movements. Intelligence remained entirely on the operator’s side. Then came the era of programming. Humans no longer controlled every movement; they wrote sequences of actions that robots executed faithfully. Control remained complete, but became indirect. Graphical interfaces further simplified this relationship. Coding was no longer required; users simply configured behaviours. Technological complexity gradually disappeared behind increasingly intuitive interfaces. The next revolution was speech. Robots learned to understand spoken commands. Then, with the arrival of large language models, it became possible to converse with them almost as naturally as with a colleague. Humans no longer needed to explain how a task should be performed; they could simply express what they wanted to achieve.

Today, a new stage is emerging: multimodal interaction. Robots no longer listen only to words. They also interpret gestures, vision, objects, movements and context. They are beginning to understand situations as much as commands.

Tomorrow, the relationship will evolve once again. We will no longer give commands; we will define objectives.

“Prepare the operating room for the next patient.”, “Organize this production line.”, “Welcome this visitor and accompany them to their destination.” The robot will choose the actions required to achieve the expected outcome.

The next stage is already appearing: brain-computer interfaces. As neural activity becomes capable of transmitting intention directly, today’s physical interfaces will gradually disappear. Intention itself may become the command.

This evolution can be summarized as a remarkable convergence between humans and machines.

Yesterday: control movements.

Then: program actions.

Next: configure behaviours.

Today: converse with robots.

Tomorrow: share intentions.

The day after tomorrow: collaborate naturally with embodied intelligence.

At every stage, technology removes another layer of technical complexity while placing greater emphasis on understanding applications and use cases. As robots become more autonomous, humans spend less time controlling mechanisms and more time understanding missions, context, constraints and objectives.

This is the real disruption.

For decades, the key skill was learning how to program robots. Tomorrow, the essential skill will be learning how to work with them.

Tomorrow’s professionals will not be those who know every line of code inside a humanoid robot. They will be those who can define missions, orchestrate collaboration between humans and machines, supervise execution, interpret results and integrate intelligent systems into complex environments.

In other words, we are progressively moving from control to collaboration. That is precisely the purpose of Asinov School. We did not create another school to train more programmers. We created a school to educate the first generation of orchestrators of embodied intelligence.

Because understanding a humanoid robot is about far more than understanding a machine. It is about understanding how autonomy is transforming the way we work, make decisions and create value.

And perhaps realizing that the true revolution is not the robot itself. It is the human being learning to collaborate with a new form of intelligence.