Papers
33
Total Citations
529
H-Index
14
About
Baoliang Zhao is a prominent researcher specializing in medical robotics, minimally invasive surgery, and human-robot interaction. His work spans several interconnected domains, including continuum surgical robots, sensorless force sensing, robotic ultrasound scanning, and computer-assisted surgical navigation. Zhao's most significant contributions address fundamental challenges in robotic surgery. His development of sensorless force-feedback systems for laparoscopic and minimally invasive procedures tackles the critical problem of haptic loss in robot-assisted surgery, enabling safer tissue interaction without the sterilization complications of traditional sensors. His hybrid adaptive control strategy for continuum robots (60 citations) advances flexible surgical tools suited for natural orifice procedures, while his automated robotic breast ultrasound scanning framework (51 citations) demonstrates innovative path planning for diagnostic imaging applications. Beyond force sensing, Zhao has made notable strides in surgical navigation, developing endoscopic path planning algorithms for nasal surgery and 2D ultrasound–3D CT fusion guidance for percutaneous tumor puncture. His virtual fixture-based human-robot cooperative control further bridges the gap between surgeon autonomy and robotic precision. With over 320 cumulative citations across his published work, Zhao's research has meaningfully shaped the landscape of intelligent surgical robotics, offering practical solutions that enhance safety, accuracy, and clinical usability across diverse surgical specialties.
Research Focus
Key Achievements
Top Papers
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- 4A sensorless force-feedback system for robot-assisted laparoscopic surgery29 citations · 2019
- 5Endoscopic Path Planning in Robot-Assisted Endoscopic Nasal Surgery27 citations · 2020
- 6Sensorless Force Sensing for Minimally Invasive Surgery26 citations · 2015
- 7Robotic Needle Insertion With 2D Ultrasound–3D CT Fusion Guidance25 citations · 2023
- 8Automatic Surgical Field of View Control in Robot-Assisted Nasal Surgery25 citations · 2020
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