Geraldo Silveira

Centro de Tecnologia da Informação Renato Archer, Cisco Systems (United States)

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About

Geraldo Silveira is a robotics and computer vision researcher whose work centers on visual servoing — the use of visual feedback to guide and control robotic systems. His most influential contribution, the 2012 paper "Direct Visual Servoing: Vision-Based Estimation and Control Using Only Nonmetric Information," has accumulated 71 citations and represents a significant advance in the field. In it, Silveira tackles the challenging problem of stabilizing a robot at a target pose defined by a reference image, developing six degrees-of-freedom visual servoing techniques that operate without requiring metric information about observed objects or precise camera and robot calibration parameters. This work is particularly impactful because it dramatically reduces the setup complexity traditionally associated with visual servoing systems, making robust robot control more accessible in real-world, uncalibrated environments. His subsequent 2014 work, "On Intensity-Based 3D Visual Servoing," further demonstrates his continued commitment to refining vision-based control methodologies. Through his research, Silveira has contributed meaningfully to making autonomous robotic systems more flexible, practical, and deployable — work that remains highly relevant to researchers and engineers pushing the boundaries of robot perception and control.