Optics

Related papers: 20

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Optics, in the context of robotics and AI, refers to the science and engineering of light interaction with matter — including how light is emitted, transmitted, reflected, refracted, and detected — and its application to sensing, imaging, and measurement systems. In robotics and AI, optical principles underpin a vast range of technologies: camera calibration techniques enable precise 3D machine vision and spatial metrology; event-based vision sensors capture high-dynamic-range visual data with minimal latency for fast-moving systems; tactile sensors like GelSight use optical imaging to estimate surface geometry and contact force; structured light and phase-measuring profilometry reconstruct detailed 3D surface profiles; and soliton microcomb systems enable precise laser-based range measurement for autonomous navigation. Optical methods also appear in remote sensing, aerosol property retrieval from satellite instruments, and advanced fabrication techniques such as two-photon direct laser writing for miniaturized optical components. Optics matters because it provides the foundational sensing modalities through which robots and AI systems perceive, interpret, and interact with the physical world, enabling tasks from autonomous navigation and manipulation to environmental monitoring and precision manufacturing.

Top Cited Papers

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