Papers
5
Total Citations
84
H-Index
4
About
Carsten Thomas is a leading researcher in human-robot collaboration, with a career dedicated to developing safe, intuitive, and adaptive robotic assistance systems for industrial applications. His work centers on creating hybrid systems that seamlessly integrate human workers with robotic counterparts, particularly in manufacturing and assembly environments. Thomas’s most impactful contribution is his pioneering framework for reciprocal human-robot interaction, detailed in his 2016 paper (40 citations), which enables robots to individually align with workers while providing intuitive control interfaces. He has also made significant advances in safety systems, combining offline simulation with real-time workspace surveillance to ensure both process and human safety in welding applications (16 and 9 citations). His research on decentralized, service-oriented architectures for multi-robot systems (15 citations) addresses the critical challenge of enabling dynamic cooperation between previously unconnected robots. Additionally, Thomas has explored the use of customizable robot assistance to compensate for age-related physical restrictions, demonstrating the social relevance of his work. With a focus on practical, human-centered automation, Thomas continues to shape the future of collaborative robotics, making him a key figure in the field.
Research Focus
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