How is robot perception defined?

Robot perception is defined as the ability to interpret data from sensors. This capability is crucial for robots to understand and interact with their environment effectively. Through various sensors—such as cameras, LIDAR, and touch sensors—robots collect information about their surroundings. The interpretation of this data enables robots to perceive obstacles, recognize objects, and make informed decisions about their actions.

This perception process involves integrating sensory data to create a meaningful representation of the environment, allowing robots to operate autonomously and adaptively. Thus, a robot's perception system serves as the foundation for other functionalities such as navigation, object recognition, and interaction with humans or other robots, making it integral to robotics development and application.