Songping Sun
Papers
4
Total Citations
51
H-Index
4
About
Songping Sun is a leading researcher in the field of surgical robotics, with a primary focus on restoring the sense of touch in robot-assisted procedures. Her work centers on haptic and tactile feedback systems, aiming to bridge the sensory gap created by minimally invasive surgery. Sun’s most significant contribution is the development of bio-inspired haptic feedback algorithms that simulate the responses of human cutaneous afferents, a breakthrough that has been shown to improve surgical outcomes. Her 2021 study on this topic has garnered 29 citations, underscoring its impact. Additionally, she has pioneered a novel fiber Bragg grating (FBG) sensor for detecting tissue mechanical properties during robotic surgery, offering a proof-of-concept that could transform how surgeons perceive tissue stiffness and texture. Her research has also demonstrated the practical benefits of tactile feedback in reducing retraction forces during total mesorectal excision in porcine models. As a key member of the Center for Advanced Surgical and Interventional Technology, Sun’s work is instrumental in advancing the safety and efficacy of robotic surgery, making her a vital figure in the evolution of surgical haptics.
Research Focus
Key Achievements
Top Papers
- 1Bio-Inspired Haptic Feedback for Artificial Palpation in Robotic Surgery29 citations · 2021
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