Geometry

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Geometry, in the context of robotics and AI, is the mathematical study of shapes, spatial relationships, distances, and transformations that forms the foundational language for describing and reasoning about physical systems. It encompasses both classical geometry and its computational extensions, including the representation of points, curves, surfaces, and rigid bodies in two- and three-dimensional space. In robotics, geometry is applied across a vast range of tasks: computing robot kinematics and workspace boundaries, planning collision-free motion paths, registering point clouds for perception, calibrating sensors relative to manipulators, and modeling the structure of continuum and parallel robots. Computational geometry provides the algorithms needed to efficiently solve these problems, such as distance computation between objects, convex optimization over geometric constraints, and coordinate frame transformations using quaternions or rotation matrices. Geometry matters because nearly every robotic capability — grasping, navigation, manipulation, and scene understanding — ultimately depends on correctly representing and reasoning about spatial structure, making geometric methods indispensable to both the theory and practice of modern robotics and AI.

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