Amir Hossein Hadi Hosseinabadi
Papers
9
Total Citations
155
H-Index
6
About
Amir Hossein Hadi Hosseinabadi is a researcher whose work sits at the intersection of surgical robotics, force sensing, and human-robot interaction, with a particular focus on minimally invasive and robotic-assisted surgery. His research addresses one of the most persistent challenges in modern surgery: the loss of tactile and haptic feedback when surgeons operate through robotic or laparoscopic systems. Hosseinabadi has made significant contributions to the design and integration of multi-axis force and torque sensors for surgical platforms. His work on integrating a 6-DOF force/torque sensor into the da Vinci Surgical System's Master Tool Manipulator (36 citations) and developing an ultra-low-noise optical force–torque sensor (17 citations) demonstrates both hardware ingenuity and clinical relevance. His 2021 systematic survey on force sensing in robot-assisted keyhole endoscopy (48 citations) has become a key reference in the field, synthesizing knowledge around tissue interaction monitoring, trauma prevention, and surgical skill assessment. Beyond the operating room, Hosseinabadi has pioneered the concept of "human teleoperation" — a mixed reality, haptically enabled framework for remote ultrasound guidance that elegantly bridges the gap between robotic precision and practical flexibility. His growing body of work reflects a researcher dedicated to making surgery safer, more intuitive, and more accessible through intelligent sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1Force sensing in robot-assisted keyhole endoscopy: A systematic survey48 citations · 2021
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- 5Optical Force Sensing In Minimally Invasive Robotic Surgery16 citations · 2019
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- 7Low-Profile 6-Axis Differential Magnetic Force/Torque Sensing6 citations · 2024
- 8Multi-Axis Force Sensing in Laparoscopic Surgery5 citations · 2024
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