Malek Anbatawi
Papers
2
Total Citations
19
H-Index
2
About
Malek Anbatawi is a researcher advancing the frontiers of surgical robotics and human-robot interaction. His work focuses on optimizing the interfaces that connect surgeons with robotic systems, particularly in minimally invasive surgery (MIS). Anbatawi's key contributions include evaluating user-interfaces for controlling virtual surgical instruments in tele-mentoring systems, where his most-cited paper (17 citations) assesses how different interfaces can effectively transfer a mentor's hand gestures to guide a trainee. He also investigates Human-Robot Interfaces (HRIs) for robotic scope assistant systems, aiming to improve how surgeons command laparoscopes to adjust their operative view. By systematically testing interaction modes and mapping commands to precise movements, Anbatawi's research directly addresses the critical challenge of reducing cognitive load and enhancing surgical precision. His work, though early in its impact, is foundational for developing more intuitive, efficient, and safer robotic surgical tools. Anbatawi's findings are poised to influence the design of next-generation surgical platforms, ultimately improving outcomes in complex procedures.
Research Focus
Key Achievements
Top Papers
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