Papers
15
Total Citations
238
H-Index
9
About
Andreas Blank is a leading researcher in industrial robotics and automation, with a core focus on machine learning applications for production, human-robot collaboration, and advanced perception systems. His work bridges the gap between theoretical advances and real-world manufacturing challenges, particularly in bin picking, pose estimation, and flexible assembly. Blank’s most cited paper, “Machine Learning in Production – Potentials, Challenges and Exemplary Applications” (84 citations), provides a foundational overview of ML’s transformative role in Industry 4.0. He has made significant contributions to 6DoF pose estimation for texture-less industrial components (23 citations) and high-precision assembly of electronic devices using lightweight robots (17 citations). A hallmark of his research is the development of “human-in-the-loop” systems for virtual commissioning of collaborative robots (18 citations), enabling safer and more efficient human-robot interaction. Blank’s work on real-time environment reconstruction for VR-based teleoperation (26 citations) and modular robot software frameworks further underscores his impact. With over 200 total citations, his research is instrumental in advancing autonomous robotics for modern shop floors, addressing critical challenges in perception, accuracy, and system integration.
Research Focus
Key Achievements
Top Papers
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- 7Highly Efficient Control System Enabling Robot Accuracy Improvement14 citations · 2014
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