Papers

7

Total Citations

300

H-Index

7

About

Anna Tao is a leading researcher in haptic feedback systems for robotic surgery, a field where she has made transformative contributions to patient safety and surgical precision. Her work addresses a critical gap in minimally invasive robotic procedures: the loss of tactile sensation, which can lead to excessive tissue damage or suture breakage. Tao’s most influential paper, "Multi-Modal Haptic Feedback for Grip Force Reduction in Robotic Surgery" (122 citations), demonstrates how combining multiple feedback modalities can significantly lower grasping forces, reducing the risk of iatrogenic injury. She further advanced the field with "Artificial palpation in robotic surgery using haptic feedback" (53 citations) and a novel "Suture Breakage Warning System" (39 citations), which provides real-time alerts to prevent intraoperative failures. Her foundational studies on suture tensile strength and visual-perceptual mismatches have informed safer surgical tool design. Notably, Tao’s collaborative work at the Center for Advanced Surgical and Interventional Technology has translated these innovations into preclinical models, including reducing retraction forces during total mesorectal excision. With over 300 total citations, Tao’s research is essential reading for engineers and surgeons seeking to enhance the safety and efficacy of robotic-assisted surgery.

Research Focus

Key Achievements

7
H-Index
7
Papers
300
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Modal Haptic Feedback for Grip Force Reduction in Robotic Surgery
122 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: UCLA Medical Center, University of California, Los Angeles

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago