John Till

University of Tennessee at Knoxville

Papers

9

Total Citations

1,018

H-Index

9

About

John Till is a prominent robotics researcher whose work sits at the intersection of continuum robotics, nonlinear elasticity, and real-time computational mechanics. His research focuses on developing physics-based models for soft and continuum robots — flexible, biologically inspired systems that bend and deform continuously rather than through discrete joints — using the mathematical framework of Cosserat rod theory. Till's most influential contribution, "Real-time dynamics of soft and continuum robots based on Cosserat rod models" (2019, 381 citations), established a practical numerical approach for simulating the complex partial differential equations governing these robots' motion, enabling applications that demand rapid computation such as surgical robotics and human-robot interaction. His complementary work on stiffness prediction under external loads (182 citations) and parallel continuum robot modeling (157 citations) significantly advanced the field's ability to design and control hybrid robot architectures that combine compliance with precision. Notably, Till extended Cosserat-based frameworks to concentric tube robots and addressed fundamental questions of elastic stability, broadening the theoretical foundations of the discipline. His proof-of-concept surgical parallel continuum manipulator demonstrates a commitment to translating models into real-world medical devices. Collectively, his work has accumulated over 1,000 citations, marking him as a foundational voice in modern continuum robotics research.

Research Focus

Key Achievements

9
H-Index
9
Papers
1,018
Total Citations
113
Avg Citations/Paper
🏆 Most Cited Paper
Real-time dynamics of soft and continuum robots based on Cosserat rod models
381 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Tennessee at Knoxville

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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