Cesar Quiroz

University of Rochester, Universidade Estadual de Campinas (UNICAMP)

Papers

Total Citations

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About

Cesar Quiroz is a robotics researcher whose work bridges computer vision, sensor calibration, and assistive technology. His research focuses on animate vision systems, low-cost sensor calibration, and visual odometry for mobility aids. Quiroz’s most influential paper, "Operating system support for animate vision" (1992, 6 citations), explores how operating systems can efficiently manage the computationally intensive tasks required for robots to couple vision with motor control—a foundational concept for modern autonomous systems. He later contributed practical solutions for robotics with "Automatic calibration of low cost inertial gyroscopes with a PTU" (2016, 2 citations), proposing an accessible calibration method for MEMS gyroscopes using a camera pan-tilt unit, addressing a critical need for accurate sensor data in real-world robotics. In "Monocular visual odometry for robotic wheelchair in a virtual environment" (2018, 2 citations), Quiroz adapted visual odometry techniques for indoor virtual settings, integrating them with a wheelchair’s dynamic model to enhance navigation for users with mobility impairments. His work demonstrates a commitment to making robotics more robust, affordable, and accessible, with applications ranging from autonomous navigation to assistive devices.