Robot perception refers to the ability of robots to interpret and understand information from their surroundings. This involves using sensors, such as cameras and microphones, to gather data about the environment. The robot processes this data to recognize objects, detect obstacles, and understand spatial relationships, enabling it to navigate and interact effectively. Key technologies in robot perception include computer vision and machine learning. Computer vision allows robots to analyze visual information, while machine learning helps them improve their understanding over time by learning from experience. Together, these technologies enable robots to perform tasks ranging from simple navigation to complex decision-making.