In recent years, when artificial intelligence is mentioned, chatbots, image production systems and large language models usually come to mind. However, there is a new concept that is increasingly talked about in the technology world: Physical AI (Physical Artificial Intelligence).
According to experts, the next big phase of artificial intelligence will be to produce machines that move and perform tasks in the physical world, not just developing systems that produce text or answer questions.
What Does Physical AI Mean?
Physical AI refers to the combination of artificial intelligence systems with robots, autonomous vehicles, production machines and other physical devices.
Traditional artificial intelligence systems operate in a digital environment. A chatbot can talk to you or create an image. However, physical AI systems perceive their environment, make decisions, and take action in the real world.
For example, a humanoid robot;
· Can recognize a box,
· Can remove it,
· Can move it to the right point,
· Can overcome obstacles,
· Can react to unexpected situations
All of these processes are managed by artificial intelligence.
Why is it on the agenda now?
The main reason why the concept of Physical AI has come to the fore recently is the rapid developments in large language models.
In the past, robots were programmed for specific commands. Nowadays, thanks to advanced artificial intelligence models, robots can understand natural language commands and perform more complex tasks.
For example, to a robot working in a production facility:
“Take these parts from the warehouse and take them to the assembly line.”
When the command is given, the system can analyze the task and create the necessary steps itself.
This approach makes robots more flexible and useful.
Why Is Nvidia Investing in This Area?
When it comes to Physical AI, one of the most prominent companies recently is Nvidia.
The company does not only develop graphics cards; It also develops simulation platforms, artificial intelligence models and hardware solutions for training robots.
Nvidia CEO Jensen Huang emphasizes in many statements he has made recently that the next stage of artificial intelligence is physical systems.
The company's solutions, such as the Isaac platform and the GR00T robot model, aim to enable robots to learn faster and perform more complex tasks.
Which Companies Are in the Race?
Nvidia is not the only one in the field of Physical AI.
Recently, many technology companies have accelerated their humanoid robot development efforts:
· Tesla (Optimus)
· Figure AI
· Agility Robotics
· Apptronik
· Unitree Robotics
· Boston Dynamics
The common goal of these companies is to develop general-purpose robots that can work in the same environment as humans.
From Factories to Homes
According to experts, the first widespread use of Physical AI will be factories.
The main reasons for this:
· Lack of labor,
· Increasing need for automation,
· Repetitive tasks can be delegated to robots,
· Safety and efficiency advantages.
However, in the long term, technology may not be limited to production facilities only.
Artificial intelligence-supported robots are expected to be used in home services, healthcare sector, logistics centers, elderly care and retail areas.
One of the Biggest Transformations of the Next 10 Years
Many technology experts think that Physical AI could be as big a transformation as the spread of the Internet or the emergence of smartphones
Today, artificial intelligence mostly lives inside screens. However, in the coming years, the same technology is expected to be brought to the physical world through robots, vehicles and machines.
Therefore, “Physical AI” is seen not only as a new technology term, but also as the name of a new industrial transformation that will shape the future of robotics, automation and artificial intelligence.