Robotic Control and Training

Beyond software, Operators can control physical robots. Here, the machine layer connects to a robot’s hardware (sensors and actuators), and the Agent logic sends commands (e.g. move arm, navigate). For example, an Operator might receive camera images from a robot and decide how to move objects on a conveyor belt or navigate a drone through an environment. AI-powered robots are already improving industrial tasks: studies report that robots guided by AI can perform inspections, maintenance, and material handling with higher precision and safety. In warehouses or factories, such Operators could plan paths, recognize objects, and adjust in real time. By abstracting robotic control into a standard platform interface, our Operators bridge high-level AI reasoning with real-world actions.