Niklas Fiedler
Papers
5
Total Citations
34
H-Index
4
About
Niklas Fiedler is a researcher advancing the frontier of robotic tactile sensing, with a focus on making this critical technology more accessible and practical. His work addresses a fundamental gap in robotics: while tactile sensing is essential for human-like manipulation, most robot grippers and hands still operate without it. Fiedler’s major contribution lies in developing low-cost, modular, and customizable tactile sensor arrays, as detailed in his highly cited 2021 paper (9 citations) and 2022 follow-up (8 citations). These systems overcome the challenge of application-specific sensor shapes and sizes, enabling broader integration into diverse robotic platforms. Beyond tactile sensing, Fiedler explores multimodal perception, combining auditory and tactile data with recurrent neural networks for object analysis (7 citations), and investigates sensory substitution for teleoperation (3 citations). His open-source vision pipeline for RoboCup humanoid soccer (7 citations) further demonstrates his commitment to accessible, reproducible robotics. With a growing citation impact and a focus on practical, low-cost solutions, Fiedler is helping to democratize tactile sensing, moving it from specialized labs into everyday robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Low-cost fabrication of flexible tactile sensor arrays8 citations · 2022
- 3An Open Source Vision Pipeline Approach for RoboCup Humanoid Soccer7 citations · 2019
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- 5