Corinna Stretz
Papers
1
Total Citations
17
H-Index
1
About
Corinna Stretz is a leading researcher in human-robot collaboration and industrial assembly, with a particular focus on enabling autonomous cobots to understand human actions. Her most notable contribution is the creation of the ATTACH Dataset (Annotated Two-Handed Assembly Actions for Human Action Understanding), published in 2023, which has already garnered 17 citations. This dataset addresses a critical gap in manufacturing robotics by providing richly annotated, two-handed assembly action sequences that allow machine learning models to be trained for real-time human action recognition. Stretz’s work is pivotal for advancing cobot autonomy, as it directly supports the development of assistants that can interpret complex, bimanual tasks in dynamic factory settings. By bridging computer vision and industrial robotics, her research enables safer, more efficient human-robot teams. Her contributions are essential for students and engineers working on embodied AI, collaborative manufacturing, and action recognition, offering both a benchmark dataset and a methodological foundation for future innovations in smart factories.
Research Focus
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Top Papers
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