Xiaoguo Li
Papers
8
Total Citations
307
H-Index
6
About
Xiaoguo Li is a leading researcher in the field of flexible endoscopic surgical robotics, with a focus on intelligent haptic feedback and autonomous suturing. His work addresses critical challenges in minimally invasive surgery, particularly the difficulty of controlling instruments within the confined, tortuous anatomy of the gastrointestinal tract. Li’s major contributions include pioneering the use of deep learning to predict distal-end forces in tendon-sheath mechanisms, enabling precise haptic feedback without prior knowledge of the sheath configuration—a breakthrough that has garnered over 130 combined citations. He also developed a novel robotic suturing system capable of closing perforations during flexible endoscopy, a task previously requiring urgent laparoscopic or open surgery. This work, published in 2020, has been cited over 50 times and represents a significant step toward safer, fully endoscopic interventions. Additionally, Li has designed a three-limb teleoperated system with foot control, allowing a single operator to manage both the endoscope and instruments, thereby reducing communication errors and improving procedural efficiency. With over 300 total citations across his key publications, Li’s research is shaping the future of flexible endoscopic surgery, making it more autonomous, precise, and accessible.
Research Focus
Key Achievements
Top Papers
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- 3Sewing up the Wounds: A Robotic Suturing System for Flexible Endoscopy52 citations · 2020
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- 6A Novel Robotic Suturing System for Flexible Endoscopic Surgery35 citations · 2019
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