Christian Juelg

FZI Research Center for Information Technology

Papers

Total Citations

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About

Christian Juelg is a robotics researcher whose work centers on making human-robot interaction safer, more transparent, and more efficient. His primary contributions lie in three interconnected areas: transparent robot behavior, collaborative manipulation, and real-time collision avoidance. His most influential work, "Transparent Robot Behavior Using Augmented Reality in Close Human-Robot Interaction" (2019, 31 citations), addresses a critical challenge in robotics: helping humans understand and predict the actions of autonomous robots. By overlaying visual cues in augmented reality, Juelg demonstrated how to make robot intentions legible, fostering trust and safety in shared spaces. In "Efficient, Collaborative Screw Assembly in a Shared Workspace" (2018, 10 citations), he tackled the practical problem of cooperative manufacturing, showing how robots and humans can work side-by-side on precise assembly tasks. His earlier work, "Fast Online Collision Avoidance for Mobile Service Robots through Potential Fields on 3D Environment Data Processed on GPUs" (2017, 8 citations), pioneered the use of GPU-accelerated Euclidean distance transforms for real-time motion planning, enabling robots to navigate complex, dynamic environments without collisions. Together, these contributions establish Juelg as a key figure in developing robots that are not only capable but also trustworthy and intuitive partners for humans.