Jacinto Colan
Papers
21
Total Citations
274
H-Index
10
About
Jacinto Colan is at the forefront of advancing robot-assisted minimally invasive surgery (RMIS), with a research focus that bridges tactile feedback, autonomous surgical planning, and constrained robotic manipulation. His systematic review on tactile feedback in RMIS (36 citations) established a critical framework for restoring haptic sensation lost in teleoperated systems, while his work on tactile displays for conventional laparoscopy further underscores his commitment to enhancing surgical transparency. Colan has made pivotal contributions to surgical autonomy and dexterity: he developed optimization-based trajectory generation for suturing in endonasal surgery (29 citations) and a concurrent framework for constrained inverse kinematics in MIS (27 citations), both addressing the extreme workspace limitations of endoscopic procedures. His cooperative human-robot interface (26 citations) and the open-source OpenRST platform for customizable 3D-printed surgical tools (26 citations) demonstrate a dedication to accessible, practical innovation. More recently, Colan has pushed toward higher autonomy with a hybrid framework combining task-motion planning and dynamic behavior trees (12 citations). With over 200 total citations across his most-cited works, Colan is recognized as a rising leader in surgical robotics, whose work directly impacts the safety, efficiency, and future autonomy of minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
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- 6A Review on Tactile Displays for Conventional Laparoscopic Surgery19 citations · 2022
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