Christian Ziegler
Institute of Automation, Friedrich-Alexander-Universität Erlangen-Nürnberg
Papers
5
Total Citations
38
H-Index
3
About
Christian Ziegler’s research lies at the intersection of industrial robotics, motion planning, and soft actuation, with a focus on enhancing robot precision, autonomy, and safety. His major contributions include developing a highly efficient control system that significantly improves the absolute accuracy of industrial robots—critical for tasks like creating miniaturized conductive patterns on 3D molded interconnect devices. He also advanced mobile robot navigation with a self-learning RRT* algorithm for complex environments, and explored dielectric elastomer actuators (DEAs) as artificial muscles for inherently compliant, lightweight robotic systems and prostheses. Ziegler’s work on cost-effective stereo camera systems for patient handling robots further demonstrates his commitment to practical, real-world applications. With over 38 citations across his most-cited papers, his research has influenced both industrial automation and assistive robotics. Notably, his DEA-based approach for compliant robotic systems points toward a future of safer, more adaptable robots that can work alongside humans. Ziegler’s interdisciplinary contributions continue to shape the next generation of intelligent, flexible, and human-friendly robots.
Research Focus
Key Achievements
Top Papers
- 1Highly Efficient Control System Enabling Robot Accuracy Improvement14 citations · 2014
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