Computer Science IB Robots Case study

any situation or location where the Global Positioning System (GPS) signals are unreliable, weak, or completely unavailable.

a location or situation where the Global Positioning System (GPS) signals are not available at all.

This can occur for a number of reasons: Indoor Locations: Buildings often block GPS signals, making them unavailable inside

is a field of artificial intelligence enabling computers to derive information from images, videos and other inputs.

Indicate how far the robot has travelled, based on the amount that the wheels have turned.

is a technology that allows a device, equipped with cameras, to simultaneously determine its own location (localization) and construct a map of its environment in real-time. By extracting visual features from the surroundings, such as keypoints or landmarks, VSLAM enables autonomous navigation without relying on external signals like GPS, making it particularly useful in environments where GPS signals are unreliable or unavailable. (USING CAMERAS)

allows a device to explore and understand its surroundings, figuring out where it is and creating a map as it moves, even in environments where it has no prior knowledge. (ONLY UTILISES SENSORS)

is a technology that uses laser light to measure distances and create a 3D map of the surroundings for a robot's navigation.

is a sensor package on a robot that measures acceleration, rotation, and sometimes magnetic fields, providing information on the robot's movement.

involves a robot creating a detailed map of its nearby surroundings to aid in navigation.

is the process by which a robot follows and monitors the movement of objects or people in its environment.

occurs when a robot recognizes a previously visited location, improving the accuracy of its map by closing a loop in its path.

involves refining a robot's actions or processes to enhance accuracy and efficiency in navigation and mapping.

is the optimization process of refining collected sensor data to improve the accuracy of a robot's map.

is the process of choosing significant moments in a robot's journey to represent in its map.

is the refinement of the entire map a robot has created to enhance overall accuracy.

are important visual features or landmarks used by a robot to understand and remember its environment.

is the process by which a robot determines its position again if it gets lost or loses track.

is a cumulative error that may occur over time, causing a slight deviation between a robot's estimated and actual positions.

is information used by a robot to estimate its current position based on its previous known position and movements.

help a robot determine the relative positions of itself and other objects in the environment.

models help a robot understand the positions and movements of humans in its environment.

occurs when several objects are in the robot's view, with some partially blocking others.

involves a robot processing and making decisions closer to where it collects data, reducing the need for central processing.

is the integration of information from different sensors, such as cameras and LIDAR, to obtain a more complete understanding of the environment.