Christoph Hinze

University of Stuttgart

Papers

11

Total Citations

46

H-Index

4

About

Christoph Hinze is a robotics researcher focused on the frontier of industrial automation, particularly the manipulation of deformable linear objects (DLOs) like cables and hoses. His work addresses the core challenge of enabling robots to handle non-rigid materials with precision, a task complicated by nonlinear, time-dependent dynamics. Hinze’s key contributions include developing a nonlinear elasticity model and feedforward compensation method to boost the positioning accuracy of large industrial robots, achieving 7 citations for this practical calibration approach. He has also pioneered tracking methods for branched DLOs, such as wire harnesses, with his structure preserved registration technique (9 citations), and advanced semi-active damping control to mitigate drivetrain flexibility issues (6 citations). Notably, his research on gain-scheduled drive-based damping (4 citations) and real-time simulation environments (5 citations) pushes toward higher dynamic path accuracy. Hinze’s work is highly applied, bridging simulation and control for industrial settings, and his cloud-based control architecture (4 citations) exemplifies his innovative approach to handling computationally intensive tasks. With over 40 total citations, Hinze is a rising figure in robotic manipulation of soft materials, offering tangible solutions for manufacturing automation.

Research Focus

Key Achievements

4
H-Index
11
Papers
46
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Tracking Branched Deformable Linear Objects With Structure Preserved Registration by Branch-wise Probability Modification
9 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of Stuttgart

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago