Eric Lindner

Papers

1

Total Citations

5

H-Index

1

About

Eric Lindner is a leading figure in the field of fiber optic sensing and continuum robotics, with a particular focus on advanced shape reconstruction and curvature measurement. His most cited work, "Curvature and Shape Sensing for Continuum Robotics using Draw Tower Gratings in Multi Core Fiber" (2018), represents a pivotal contribution to the field. In this study, Lindner pioneered the use of dense arrays of Draw Tower Gratings (DTGs®) inscribed in seven-core multicore fiber, demonstrating how these sensors, when paired with a standard spectrometer-based readout system using Wavelength Division Multiplexing, can achieve highly accurate curvature and shape sensing for flexible robotic structures. This work has garnered 5 citations and is foundational for researchers developing continuum robots for minimally invasive surgery and industrial inspection. Lindner’s innovations bridge the gap between optical fiber technology and robotic control, enabling real-time, high-resolution shape feedback that is critical for safe and precise manipulation in constrained environments. His research continues to influence the design of smart, sensorized robotic systems, making him a key contributor to the advancement of soft and continuum robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Curvature and Shape Sensing for Continuum Robotics using Draw Tower Gratings in Multi Core Fiber
5 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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