Papers
20
Total Citations
167
H-Index
8
About
Baiquan Su is a pioneering researcher at the intersection of medical robotics and continuum mechanisms, with a focus on developing intelligent, autonomous systems for surgical applications. His work centers on creating flexible, tendon-driven continuum robots with contractible and extensible capabilities, enabling unprecedented access to confined anatomical spaces—a breakthrough for neurosurgery and minimally invasive procedures. Su’s major contributions include designing robots that autonomously perform incision stapling and removal (20 citations), remove superficial traumatic blood (19 citations), and aspirate saliva-blood mixtures during oral surgery (8 citations). He also advanced biopsy precision with a steerable concentric tube system that monitors electrical resistivity and insertion forces in real time (16 citations). With over 135 total citations across his top papers, Su’s innovations reduce surgeon workload and enhance patient safety by automating critical, repetitive tasks. His notable achievements include developing a soft robot for natural orifice surgery and a bleeding contour detection system for craniotomy. Su’s work is shaping the future of autonomous surgical robotics, offering transformative tools for safer, more efficient clinical care.
Research Focus
Key Achievements
Top Papers
- 1A Continuum Robot with Contractible and Extensible Length for Neurosurgery24 citations · 2018
- 2Task Autonomous Medical Robot for Both Incision Stapling and Staples Removal20 citations · 2022
- 3Autonomous Robot for Removing Superficial Traumatic Blood19 citations · 2021
- 4
- 5Extensible and Compressible Continuum Robot: A Preliminary Result15 citations · 2019
- 6A Soft Tissue Scalpel Cutting Robotic System with Sucker Fixation14 citations · 2018
- 7
- 8
- 9Bleeding contour detection for craniotomy6 citations · 2021
- 10