K.A. Manocha

Papers

Total Citations

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About

K.A. Manocha is a researcher in human-machine cooperative teleoperation, with a focus on enhancing the capabilities of semi-autonomous robotic systems. Their most-cited work, "Teleoperation assistance through variable velocity mapping" (2001, 46 citations), introduces a sensor- and model-assisted method that dynamically adjusts velocity mapping to improve teleoperation performance. This approach was notably applied to Fitts’ law tasks, demonstrating how variable velocity mapping can help operators overcome the limitations of autonomous robots by providing intuitive, real-time assistance. Manocha’s contributions lie at the intersection of robotics, human factors, and control systems, offering practical solutions for more efficient and precise human-robot collaboration. While their citation count reflects a specialized but impactful niche, this work has influenced subsequent research in shared control and teleoperation interfaces, particularly in scenarios requiring fine motor control. Manocha’s research underscores the importance of adaptive assistance in bridging the gap between full autonomy and direct human control, making their work relevant for students and researchers exploring cooperative robotics and human-machine interaction.