Davi Geiger

Papers

Total Citations

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About

Davi Geiger is a pioneering researcher in computer vision and robotics, best known for his foundational work in autonomous robot calibration and visual perception. His most-cited paper, "Autonomous Robot Calibration for Hand-Eye Coordination" (1991, 98 citations), introduced a groundbreaking method for determining a robot's kinematic model using only internal sensors, eliminating the need for external measurement devices. This work demonstrated that a manipulator and stereo camera system could be calibrated autonomously, significantly advancing the field of hand-eye coordination and enabling more flexible, self-correcting robotic systems. Geiger's contributions extend to visual tracking, 3D reconstruction, and probabilistic models for vision, where his algorithms have influenced both academic research and practical robotics applications. His research has been widely cited and continues to inspire new approaches in autonomous systems, sensor fusion, and machine perception. Through his innovative calibration techniques and theoretical insights, Geiger has helped shape modern robotics, making autonomous calibration a cornerstone of intelligent, adaptive robotic systems.