What is 'object recognition' in the context of FANUC robotics?

In the context of FANUC robotics, object recognition refers to the capability of identifying and locating objects within the robot's environment using vision systems. This involves processing images captured by cameras integrated into the robotic system to detect and pinpoint objects based on their features, colors, and shapes. This function is crucial for tasks such as picking and placing, sorting, and inspection, where the robot must accurately identify the specific objects it is handling.

The right choice emphasizes not just the identification aspect, but also the localization, which is essential for ensuring that the robot can interact with objects precisely and efficiently. By utilizing advanced algorithms and machine learning techniques, the robot can learn to recognize new objects over time, leading to improved flexibility and adaptability in various applications.