Range (aeronautics)
Related papers: 20
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Range, in aeronautics and robotics contexts, refers to the maximum distance over which a system—whether a vehicle, sensor, or signal—can operate effectively. In robotics and AI, range is a foundational measurement concept encompassing both the physical distance a robot or autonomous vehicle can travel on available power and the sensing distance over which perception systems such as LiDAR, sonar, time-of-flight cameras, and radar can reliably detect and map environments. Range sensors produce distance measurements that feed directly into critical capabilities including obstacle avoidance, simultaneous localization and mapping (SLAM), scan registration, and path planning. Algorithms like the Vector Field Histogram exploit range data in real time to navigate safely around unknown obstacles, while SLAM frameworks integrate successive range scans to build globally consistent environmental maps. Range matters because it defines operational boundaries: a robot with limited sensing range cannot perceive distant hazards, while one with constrained travel range cannot complete extended missions. Understanding and optimizing range—whether through sensor calibration, efficient path planning, or energy management—is therefore essential to designing capable, reliable autonomous systems across industrial, field, and aerial applications.
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