Philipp Wedenig

Joanneum Research, FH JOANNEUM University of Applied Sciences

Papers

Total Citations

H-Index

About

Philipp Wedenig is a researcher advancing the frontier of human-robot collaboration, with a focus on safety and predictive motion modeling. His work addresses a critical challenge in modern industrial robotics: enabling versatile, safe interactions between humans and machines without sacrificing efficiency. Wedenig’s most cited paper, “Versatile Collaborative Robot Applications Through Safety-Rated Modification Limits” (2019, 11 citations), introduces a framework that allows robots to dynamically adjust their operational limits based on real-time safety assessments, moving beyond static safety zones to more flexible, adaptive collaboration. This contribution is foundational for deploying robots in shared workspaces where human proximity is variable. More recently, in “A Tensor-based Regression Approach for Human Motion Prediction” (2022, 6 citations), Wedenig tackles the problem of anticipating human movement, a key requirement for proactive robot behavior. By leveraging tensor methods, his approach captures complex, high-dimensional motion patterns, enabling robots to predict and respond to human actions with greater accuracy. These contributions are shaping the next generation of safe, intuitive, and efficient collaborative robotic systems for industrial applications.