Example Concept: Machine vision in robotics typically involves the use of cameras and image processing algorithms to identify and classify objects. Techniques such as convolutional neural networks (CNNs) are commonly used for feature extraction and pattern recognition, enabling robots to differentiate between various objects. Additionally, depth sensors and stereo vision can provide 3D information about the environment, improving the robot's ability to understand object size, shape, and spatial orientation.