Papers
3
Total Citations
17
H-Index
2
About
Simone Bexten is a researcher at the forefront of safe human-robot collaboration, with a focus on industrial and aerospace manufacturing. Her work centers on developing sensor systems and algorithms that enable robots to work safely alongside humans, addressing a critical need as factories move toward more flexible, collaborative production lines. Bexten’s most-cited paper, “Object Classification on a High-Resolution Tactile Floor for Human-Robot Collaboration” (2020, 10 citations), introduces a novel approach to detecting and classifying objects and people using pressure-sensitive flooring—a key innovation for hazard avoidance in shared workspaces. She further explores the reliability of machine learning in human detection (2020, 5 citations), emphasizing the importance of robust perception for worker safety. In her 2022 work on autonomous modular robotics in aerospace manufacturing, Bexten tackles the unique challenges of applying flexible robotics to high-stakes, low-volume production environments. With a growing citation record and a clear focus on practical safety solutions, Bexten is contributing essential knowledge to the safe integration of robots into human-centric industrial settings.
Research Focus
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Top Papers
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