Clifford Bargar

Papers

Total Citations

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About

Clifford Bargar’s research lies at the intersection of surgical robotics and human-machine interaction, with a focus on enhancing precision in teleoperated systems. His most-cited work, “Effects of master-slave tool misalignment in a teleoperated surgical robot” (2015, 26 citations), systematically characterizes how kinematic errors, sensor faults, and clutching-induced misalignments degrade operator performance. By quantifying the relationship between misalignment type, magnitude, and task efficiency, Bargar provided foundational insights for improving the design and calibration of robotic surgical platforms. This contribution is critical for advancing patient safety and surgical accuracy in minimally invasive procedures. While his citation count reflects a specialized, emerging field, his work has informed subsequent studies on haptic feedback and control algorithms. Bargar’s research is particularly valuable for engineers and clinicians developing next-generation teleoperated systems, where even minor misalignments can compromise outcomes. His findings underscore the importance of robust kinematic modeling and real-time error compensation, marking him as a thoughtful contributor to the evolving landscape of robot-assisted surgery.