Karina Vasquez

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About

Karina Vasquez is a robotics researcher whose work centers on human-robot interaction, teleoperation, and motion control systems. Her research addresses the critical challenge of making remote robotic control more intuitive, accessible, and platform-agnostic. In her most-cited work, "Telepresence using the kinect sensor and the NAO robot" (2016, 19 citations), Vasquez pioneered a system that enables real-time motion imitation for telepresence, allowing a humanoid robot to mirror a human operator’s movements captured via a Kinect sensor—going beyond simple audio-visual transmission to create truly embodied remote presence. Building on this foundation, her paper "Real-Time Joystick Teleoperation of the Sawyer Robot Using a Numerical Approach" (2018, 7 citations) introduced an open-source framework for joystick-based control, breaking away from proprietary, platform-specific solutions. This work is notable for its emphasis on generalization, offering a numerical methodology that can be adapted across different robotic platforms. Vasquez’s contributions are particularly impactful for students and researchers seeking accessible, low-cost teleoperation tools, and her work has laid important groundwork for democratizing robotic control in both industrial and research settings.