Papers

11

Total Citations

213

H-Index

6

About

Vinzenz Bargsten is a leading researcher in robotics, specializing in human-robot collaboration, series-elastic actuation, and whole-body control for industrial settings. His work bridges the gap between safe, compliant robot behavior and high-performance manufacturing, with a focus on developing lightweight manipulators and humanoid platforms. His most cited paper, "Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings" (2017, 83 citations), demonstrates his impact on enabling intuitive and safe interaction between humans and robots. Bargsten has made significant contributions to model-based control, including the identification of inverse dynamics using both classical and machine learning techniques, and the design and control of novel series-elastic actuators (SEAs) that enhance safety and adaptability. His work on the RH5 humanoid robot (2021, 24 citations) showcases his expertise in series-parallel hybrid architectures for dynamic performance. More recently, he has explored continuous learning of contact episodes using adaptive resonance theory, advancing robot autonomy in assembly tasks. With over 200 total citations, Bargsten's research is pivotal for the next generation of collaborative industrial robots.

Research Focus

Key Achievements

6
H-Index
11
Papers
213
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings
83 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: University of Bremen, German Research Centre for Artificial Intelligence

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago