Papers
14
Total Citations
216
H-Index
7
About
Alex Cao is a prominent researcher at the intersection of surgical robotics, human-robot interaction, and teleoperation systems. His work focuses on optimizing the surgeon-robot interface, augmented reality cueing, and autonomous robotic control — areas with significant implications for improving surgical precision and patient outcomes. Among his most influential contributions is his investigation of augmented reality methods to enhance teleoperator performance during display-control misalignments, which has garnered 62 citations and remains a foundational reference in surgical teleoperation research. Cao has also made notable strides in autonomous camera positioning, developing an eye gaze-based laparoscopic system integrated with the Aesop robot, cited 44 times. His early work on computer-assisted microsurgery in animal models demonstrated the potential of robotic tremor filtration in open surgical settings, earning 32 citations. Across his portfolio, Cao systematically examined how factors such as control-display gain, zoom level, field-of-view, and hand positioning affect surgeon performance, building a rigorous empirical foundation for interface design. With over 190 cumulative citations, his research has meaningfully shaped the development of safer, more intuitive robotic surgical systems.
Research Focus
Key Achievements
Top Papers
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- 3Computer-Assisted, Robot-Enhanced Open Microsurgery in an Animal Model32 citations · 2005
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- 8Hand position effects on precision and speed in telerobotic surgery5 citations · 2007
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- 10Minimizing Movement Time in Surgical Telerobotic Tasks4 citations · 2005