AI for robotics combines computer vision, reinforcement learning, and control engineering to make autonomous machines smart and responsive. It allows robots to move through physical environments while making intelligent decisions based on real-time data.
Control systems provide the mathematical foundation for stability, navigation, and precision. When paired with AI, they enable:
Autonomous navigation
Sensor fusion
Real-time feedback loops
Adaptive decision-making
You don’t just program a path. You teach a machine how to react, optimize, and solve.