Papers

18

Total Citations

139

H-Index

8

About

Eckart Uhlmann is a prominent manufacturing engineer whose research centers on the automation of advanced machining and finishing processes, with a particular focus on the application of industrial robots in precision manufacturing. His work has systematically expanded the boundaries of robot-assisted machining, tackling fundamental challenges including positional accuracy, structural stiffness, thermal drift, and energy efficiency that have historically limited robots in high-precision contexts. Uhlmann has made significant contributions across several demanding application domains, including the machining of carbon fiber-reinforced polymers (CFRP) for aerospace and automotive industries, the repair and recontouring of complex turbine blades made from high-performance nickel-based alloys, and advanced forming processes such as single-point incremental forming. His research into trochoid milling, pocket milling, belt grinding, and drag finishing with industrial robots demonstrates an exceptional breadth of process expertise. Notably, he has embraced machine learning approaches — including artificial neural network hyperparameter optimization and data-driven stiffness modeling — to overcome robot accuracy limitations. With his most cited work accumulating over 200 citations and a consistent publication record spanning nearly a decade, Uhlmann's research has meaningfully shaped how industry and academia perceive robots not merely as handling systems, but as versatile, energy-efficient alternatives for complex manufacturing tasks.

Research Focus

Key Achievements

8
H-Index
18
Papers
139
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Energy Efficient Usage of Industrial Robots for Machining Processes
21 citations · 2016
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Fraunhofer Institute for Production Systems and Design Technology, Technische Universität Berlin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago