Physical AI is transforming robotics from programmed automation into intelligent, adaptive systems capable of perceiving, reasoning, and acting in dynamic real-world environments. Unlike traditional robots that rely on predefined rules and structured workflows, Physical AI combines advanced sensing, edge computing, simulation, machine learning, and autonomous decision-making to enable robots to interact with the physical world with unprecedented flexibility and precision.
In this 1-hour webinar, attendees will discover:
- Why robotics is becoming systemic
- The challenges behind Physical AI
- ST system approach
- System examples