Andrew Lewis

University of Washington

Papers

3

Total Citations

5

H-Index

2

About

Andrew Lewis is an emerging researcher specializing in surgical robotics, soft robotics, and medical device development, with a particular focus on advancing minimally invasive and emergency medical technologies. His work addresses critical challenges at the intersection of robotics engineering and clinical application, demonstrating a commitment to translating innovative mechanical solutions into practical healthcare tools. Lewis's contributions span several technically demanding domains. His research on cable-driven surgical robots, specifically the RAVEN-II platform, tackles the persistent problem of kinematic estimation errors caused by cable slack and stretch, proposing data-driven calibration methods that enhance surgical precision. In the realm of soft robotics, he has pioneered acoustic sensing approaches to characterize environmental interactions of everting tube robots, opening new avenues for non-invasive feedback mechanisms. Perhaps most clinically impactful is his development of an everting soft robot designed for rapid wound packing — a potentially life-saving innovation targeting noncompressible penetrating wounds where hemorrhage control remains devastatingly difficult. Though early in his career with his cited works accumulating citations between 2024 and 2025, Lewis's research portfolio reflects a sophisticated and purposeful research agenda. Students and engineers interested in medical robotics and human-centered device design will find his work both technically rigorous and deeply motivated by real-world patient need.

Research Focus

Key Achievements

2
H-Index
3
Papers
5
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Efficient data-driven joint-level calibration of cable-driven surgical robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Washington

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago