Papers

9

Total Citations

70

H-Index

6

About

Fynn Schwiegelshohn is a leading researcher in service robotics for ambient assisted living (AAL), focusing on unobtrusive, efficient, and modular solutions to support independent aging. His work addresses the demographic challenge of an aging population by integrating robotics, embedded systems, and ICT into healthcare paradigms. Schwiegelshohn’s major contributions include advancing robot localization in indoor environments using Bluetooth beacons and SLAM algorithms, and optimizing operational time for low-power robotic platforms. He has also pioneered the use of dynamically reconfigurable FPGAs for elastic algorithms in autonomous robots, enhancing motion control through numerical methods and high-level synthesis. With over 70 citations across his most-cited works, his research has significantly impacted the RADIO project (H2020), which aims to deploy reliable, unobtrusive robots in domestic settings. Schwiegelshohn’s holistic approach—combining hardware, software, and communication strategies—has set a foundation for scalable, ICT-based healthcare solutions, making him a key figure in the transition toward service-oriented, robot-assisted living environments.

Research Focus

Key Achievements

6
H-Index
9
Papers
70
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Tackling The New Health-Care Paradigm Through Service Robotics: Unobtrusive, efficient, reliable, and modular solutions for assisted-living environments
16 citations · 2017
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Ruhr University Bochum, University Hospitals of the Ruhr-University of Bochum

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago