Christian Eitzinger
Papers
14
Total Citations
168
H-Index
7
About
Christian Eitzinger is a leading researcher in industrial robotics and human-robot collaboration, with a focus on transforming manufacturing through intelligent automation. His work primarily spans three interconnected areas: mobile manipulation for large-part manufacturing, human-robot collaborative assembly, and robotic quality inspection. Eitzinger’s most impactful contribution is his pioneering work on mobile manipulators for aerospace manufacturing, which has garnered 58 citations and demonstrates how robots can move beyond fixed positions to handle large components like aircraft parts. He has also advanced human-robot interaction by developing reinforcement learning frameworks that reduce the need for expert programming, enabling natural communication between humans and robots in collaborative assembly processes. His research on context-enhanced multi-object tracking and neural body schemas for dexterous coordination has further pushed the boundaries of adaptive robotics. Notably, Eitzinger led the SPIRIT project, creating a software framework that simplifies the setup of industrial inspection robots, and developed photometric stereo sensors for quality inspection of composite materials. With over 160 total citations across his publications, Eitzinger’s work is shaping the future of flexible, intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Mobile manipulator is coming to aerospace manufacturing industry58 citations · 2014
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- 7LSPB Trajectory Planning Using Quadratic Splines8 citations · 2017
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- 9Context Enhanced Multi Object Tracker for Human Robot Collaboration7 citations · 2017
- 10Robotic inspection of 3D CFRP surfaces3 citations · 2016