Lukas Stiglmeier
Papers
5
Total Citations
37
H-Index
3
About
Lukas Stiglmeier is a researcher at the forefront of human-robot collaboration and advanced manufacturing, whose work is shaping safer, more efficient industrial automation. His primary research areas include human-robot interaction, additive manufacturing, and sensor technology, with a focus on bridging the gap between collaborative robots and traditional industrial efficiency. Stiglmeier’s most impactful contribution is his 2021 study on human–machine differentiation in speed and separation monitoring, which has garnered 20 citations for its novel approach to improving efficiency in human-robot collaborative applications without compromising safety. He has also made significant strides in 3D-printed torque sensors, publishing a comprehensive review in 2024 that has already attracted 10 citations, highlighting his expertise in integrating additive manufacturing with sensing technologies. Additionally, Stiglmeier has explored vibrotactile feedback for eye-tracking assistive devices and inductive power transfer for robotic systems, demonstrating his versatility. His 2025 work on holistic robotics education underscores his commitment to preparing the next generation of engineers for industry challenges. With a growing citation record and innovative contributions across multiple domains, Stiglmeier is establishing himself as a key voice in making robotics more adaptive, efficient, and accessible.
Research Focus
Key Achievements
Top Papers
- 1
- 23-D-Printed Torque Sensors: A Review10 citations · 2024
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