Papers
33
Total Citations
195
H-Index
8
About
Kazuya Kawamura is a pioneering researcher in surgical robotics, whose work sits at the intersection of robotic control systems, human-robot interaction, and neuroscience-based evaluation methods. His research has focused on advancing minimally invasive surgery through intelligent robotic systems, tackling critical challenges such as tissue protection, teleoperation under real-world network constraints, and intuitive master-slave robot design. Among his most significant contributions is a force control method that prevents dangerous overloading of vulnerable tissues like blood vessels and nerves during robotic surgery, combining FEM-based stress observation with responsive robotic control. He has also developed real-time organ deformation simulations using mass-spring systems, enabling more accurate intraoperative navigation. Notably, Kawamura pioneered the use of brain activity measurement — particularly monitoring the intraparietal sulcus — to quantitatively evaluate operator embodiment, hand-eye coordination, and intuitive operability in surgical robot systems, a genuinely novel approach to human factors research in medical robotics. His most-cited works have collectively gathered over 100 citations, reflecting sustained influence across robotics engineering and surgical training communities. His 2021 gaze-tracking study further demonstrates his evolving commitment to operator-centered robot design, making complex surgical tools more natural and effective for human users.
Research Focus
Key Achievements
Top Papers
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- 2Control Method for Surgical Robot to Prevent Overload at Vulnerable Tissue19 citations · 2007
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- 7Evaluation of Hand-Eye Coordination Based on Brain Activity8 citations · 2015
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- 9Dexterous master-slave surgical robot for minimally invasive surgery - Intuitive interface and interchangeable surgical instruments8 citations · 2006
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