Robot perception is a fundamental research field within robotics and artificial intelligence focused on enabling robots to acquire, process, and interpret sensory data from their environment. It investigates the theoretical principles, computational algorithms, and technological implementations necessary for robots to sense their surroundings, build meaningful representations, and understand relevant properties such as object identity, location, state, and environmental geometry. This concept is critical for facilitating autonomous navigation, interaction, manipulation, and decision-making in complex and dynamic real-world settings.