Jenny Huch
Papers
1
Total Citations
3
H-Index
1
About
Jenny Huch is a rising researcher in human-robot collaboration, with a focus on making industrial cobots more intuitive and trustworthy for human workers. Her most-cited work, "Creating a Framework for a User-Friendly Cobot Failure Management in Human-Robot Collaboration" (2024, 3 citations), tackles a critical yet underexplored challenge: how to effectively communicate and recover from robot failures in shared workspaces. By designing a structured framework for failure management, Huch addresses the human factors that undermine trust and performance when cobots malfunction, proposing user-friendly protocols that help operators diagnose issues, restore normal operation, and maintain confidence in automation. This work sits at the intersection of cognitive ergonomics, human-robot interaction, and industrial engineering, offering practical solutions for real-world manufacturing environments. While early in her career, Huch’s contributions are already shaping how researchers and practitioners think about resilience in collaborative systems. Her research promises to reduce downtime and improve safety in factories where humans and robots work side by side, making her a notable voice in the next generation of human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1