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About

Robert Pless is a leading researcher in computer vision and robotics, whose work bridges the gap between geometric sensing and intelligent systems. His key research areas include sensor calibration, 3D scene reconstruction, and the integration of vision with robotic platforms. Pless is best known for his foundational contributions to sensor auto-calibration, most notably in his highly cited 2003 paper "Extrinsic Auto-calibration of a Camera and Laser Range Finder" (79 citations), which provided critical theoretical and experimental methods for recalibrating autonomous sensor platforms without explicit calibration objects—a practical necessity for real-world deployment. He also made significant strides in understanding human visual perception through his work on the Ouchi illusion (41 citations), revealing how biased flow estimation creates compelling visual artifacts. Pless’s impact extends to multi-camera networks, where his "eyes from eyes" framework (22 citations) advanced the modeling of space and time for autonomous systems. His later work on face detection for mobile robots (11 citations) and real-time learning of neural correlates in electrocorticography (11 citations) demonstrates his versatility, applying geometric constraints to both robotic vision and brain-computer interfaces. With over 150 total citations across his most-cited works, Pless has shaped how autonomous systems perceive and interact with their environments.