An cuadrícula de ocupación is a type of spatial representation commonly used in robotics and autonomous navigation. It divides a given environment into a grid of cells, where each cell represents a specific area and indicates whether it is occupied, free, or unknown. This method allows robots to perceive their surroundings effectively and make informed decisions regarding movement and evitación de obstáculos.
Cada celda en una cuadrícula de ocupación puede tener un state: ‘occupied’ (indicating the presence of an obstacle), ‘free’ (indicating that the space is clear), or ‘unknown’ (where the robot lacks information). The grid can be two-dimensional or three-dimensional, depending on the application, with the resolution of the grid cells determining the level of detail in the representation.
Las cuadrículas de ocupación se generan utilizando datos de varios sensores, como LIDAR, sonar, or cameras, which provide information about the environment. As a robot moves through its environment, it updates the occupancy grid based on the data it collects, improving its understanding of the space over time.
This grid-based approach is advantageous because it simplifies the complex task of environment mapping, making it easier for algorithms to process spatial data and navigate effectively. Occupancy grids are widely used in applications like vehículos autónomos, robotic vacuum cleaners, and drones, enabling them to operate safely and efficiently in dynamic environments.