Papers
12
Total Citations
327
H-Index
10
About
Ali Talasaz is a prominent researcher in the field of robotics-assisted minimally invasive surgery (RAMIS), with a particular focus on haptic feedback, teleoperation, and surgical robotics. His work addresses one of the most critical challenges in robotic surgery: the absence of tactile and force feedback that can lead to tissue damage, vessel puncture, and compromised surgical precision. Talasaz's most impactful contributions center on developing and evaluating force feedback systems for surgical teleoperation. His highly cited 2016 study on suturing with a 7-DOF dual-arm system (81 citations) and his 2012 work on tumor localization through integrated tactile sensing and force reflection (71 citations) demonstrate his sustained effort to make robotic surgery safer and more intuitive. He pioneered haptics-enabled teleoperation platforms capable of measuring and reflecting forces across multiple degrees of freedom, with applications ranging from knot-tightening and suturing to mitral valve annuloplasty and lung motion compensation during needle insertion. Beyond surgery, Talasaz has shown versatility by applying computer vision to autonomous 3D plant growth measurement, highlighting his broader robotics expertise. With over 290 cumulative citations, his body of work has meaningfully advanced the science of human-robot interaction in surgical and biomedical contexts, offering tangible pathways toward safer, more effective robotic surgical systems.
Research Focus
Key Achievements
Top Papers
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- 3Effect of force feedback on performance of robotics-assisted suturing27 citations · 2012
- 4Haptics-enabled teleoperation for robot-assisted tumor localization24 citations · 2010
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- 9Robot-assisted lung motion compensation during needle insertion15 citations · 2013
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