Christoph Hinze
Forschungsingenieur at Festo
Germany
Summary
👤
Senior🎓
Top SchoolChristoph Hinze is a research engineer with eight years of experience applying control theory and real-time machine learning to industrial automation and robotics. He holds advanced degrees in technical cybernetics and is pursuing a PhD in mechatronics, robotics and automation from the University of Stuttgart, blending deep academic rigor with hands-on engineering. Christoph led a junior research group on grey-box modeling for manufacturing and has worked internationally, including a research stay at the University of Auckland. At Festo he now focuses on industrially applicable control solutions, building ML models that run in real-time on controllers. He contributes to open-source robotics tooling—enhancing the DART simulation backend and Python bindings (dartpy) and adding pytest-based unit tests—demonstrating care for robust, testable interfaces between simulation and control. Known for translating theoretical models into practical, test-verified components, he brings a pragmatic and reproducible approach to automation challenges.
9 years of coding experience
Promotion, Mechatronik, Robotik und Automatisierungstechnik, Promotion, Mechatronik, Robotik und Automatisierungstechnik at University of Stuttgart
Github Skills (9)
c-language10
robotics10
eigen10
cprogramming-language10
pytest10
python10
pybind1110
dynamics9
kinematics9
Programming languages (7)
Github contributions (5)
dartsim/dart
Jul 2019 - May 2020
Research-focused C++23 physics engine for robotics, animation, and machine learning, with Python bindings
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:8 commits, 9 PRs, 11 comments in 9 months
Contributions summary:Christoph primarily contributed to the backend of the DART robotics toolkit, specifically focusing on expanding the Python bindings (dartpy) to access and manipulate data within the simulation environment. They added wrappers to access and modify transformations, body node information, and inertia properties. Furthermore, the user created unit tests using pytest to verify the functionality of the newly introduced Python bindings.
animationmachine-learningphysics-enginepython-bindingsrobotics
iswunistuttgart/latex_template_students
Nov 2019 - Mar 2022
LaTeX-Template for student theses at ISW
Contributions:33 commits, 2 PRs, 12 pushes in 2 years 4 months
latex
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.