Preetham Chalasani
Papers
11
Total Citations
214
H-Index
10
About
Preetham Chalasani is a leading researcher in robotic-assisted surgery, with a focus on enhancing situational awareness and haptic feedback in minimally invasive procedures. His work centers on developing intelligent frameworks that allow surgical robots to perceive and adapt to their environment in real time. A major contribution is his pioneering use of virtual fixtures—computer-generated constraints that guide a surgeon’s movements—to improve precision in tasks like needle passing and knot tying, as demonstrated in his highly cited 2016 paper (37 citations). He has also advanced nonparametric estimation methods for concurrently mapping organ geometry and tissue stiffness through continuous adaptive palpation (31 citations), enabling robots to detect tumors and anatomical structures without direct touch. Chalasani’s impact extends to microsurgery, where he helped evaluate the Robotic ENT Microsurgery System for head and neck procedures (23 citations) and tested a “steady-hand” platform for microlaryngeal phonosurgery (18 citations). His work on hybrid robot-assisted frameworks for retinal endomicroscopy (22 citations) further showcases his versatility. With over 200 total citations, Chalasani’s research is foundational to making robotic surgery safer, more intuitive, and more perceptive.
Research Focus
Key Achievements
Top Papers
- 1Virtual fixture assistance for needle passing and knot tying37 citations · 2016
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