Engineer and research associate with several years of experience in robotics, automation, and digital production technologies. Focused on the development, integration, commissioning, and optimization of robot-assisted applications in industrial environments. Team-oriented, communicative, and quick to familiarize myself with new technologies.

Work experiences

Fraunhofer IGCV
Research Associate 04/2021-Present
Focus on the development, integration, and testing of robot-assisted automation solutions and digital production technologies in industrial and publicly funded research projects.

• Development, integration, and testing of a robot-assisted teaching system for the intuitive programming of automated post-processing operations for large cast components in collaboration with industrial partners
• Implementation of RFID-based identification solutions for cast components in collaboration with industrial partners
• Development of augmented reality applications for training and supporting industrial soldering processes
• Development of a concentric tube robot for the automated cleaning of sand molds
• Analysis of process data and feature correlations in the sand core removal process using machine learning methods
• Commissioning of a chess-playing robot
• Collaboration with interdisciplinary teams, industrial partners, and students in development, testing, and demonstration projects.

Fraunhofer IGCV
Internship 02/2020-03/2021

• Development of AI-based algorithms for analyzing and improving marking quality on com-ponent surfaces
• Development of graphical user interfaces using Python for industrial image processing systems
• Support in the commissioning and validation of image processing and inspection systems

Education

Technical University of Munich
Promotion, Dr. -Ing. 01/2024-12/2026 (expected)

• Dissertation on the topic “DemoTeach – Intuitive Robot Programming using Motion Capture Technology for Foundry Applications,” Chair of Forming Technology and Foundry Engineering, supervised by Prof. Dr.-Ing. Wolfram Volk.

Technical University of Munich
Master of Science, Mechanical Engineering 04/2018-12/2020

• Master’s thesis: Development of a system for traceability and quality control of sand cores based on an IoT platform
• Semester project: Commissioning and validation of a test bench for surface inspection of tools using image processing

Central South University
Bachelor of Engineering, Mechanical Engineering 09/2013-06/2017

• Final ranking: 15th out of 383
• Core Module: Mechatronics

Qualifications

Technical skill

• Robotics & Simulation: ROS, CoppeliaSim, robot-assisted applications, robot teaching
• Programming & Software: Python, SQL, C++, C#, GUI development, image processing
• Network & Interface Technologies: MQTT, TCP/IP, OPC UA, WLAN, servers, databases
• Data Analysis & AI: machine learning, process data analysis, embedded machine learning
• Automation & Hardware: Siemens PLC, Raspberry Pi, Arduino, EtherCAT, IIoT
• CAD & Engineering: Siemens NX, CATIA

Language

• Chinese (native speaker); German (DSH C1); English (DAAD C1)
  

Permit

• Driving license B, permanent residence permission (Germany)
  

Soft skill

• Project proposal writing and project management, supervision of student theses, technical communication, communication with industrial partners
  

Interest

• Guitar, jogging

Honors & Awards

Honor

• Mathematical Contest in Modeling, 2016
  
• China National Scholarship, 2015
  
• Second prize in Formula Student China (electric car), 2015

Patent

• Smart tracking mat, DE 102021200152.1 (Patent for invention)
  
• Ultrasonic plasticizing fusion deposition forming 3D printing device, CN 201710935050.2 (Patent for invention)

Certifications

• AI in Production Engineering
• Fundamentals of Red Hat Enterprise Linux
• Simulink Onramp
• Code Foundation for ROS
• Industrial Internet of Things (IIoT)
• EtherCAT
• Introduction to Embedded Machine Learning
• MongoDB Basics
• ACA Cloud Native Certification
• Google Cloud Fundamentals: Core Infrastructure

* Certifications are available upon request.

Publications

Li, R., Liu, K., Volk, W. Günther, D. (2025). DemoTeach- robot programming with MoCap system for foundry applications. Int J Adv Manuf Technol 140, 4889-4904. https://doi.org/10.1007/s00170-025-16618-0

Li, R., Volk, W. Günther, D. (2026). XR-Enhanced DemoTeach: An Intuitive Digital Twin-Based Robot Programming for Foundry Applications. Virtual Reality

Erhard, P., Hartmann, C., Li, R. et al. (2023). Advanced Procedures for Series Production with 3D-Printed Core Packages. Inter Metalcast 17, 2572-2583. https://doi.org/10.1007/s40962-023-01046-1

Deng, F., Li, R., Klan, S. et al. (2022). Comparative Evaluation of Marking Methods on Cast Parts of Al-Si Alloy with Image Processing. Inter Metalcast 16, 1122-1139. https://doi.org/10.1007/s40962-021-00661-0

Dobmeier, F., Li, R., Ettemeyer, F., Mariadass, M., Lechner, P., Volk, W., & Günther, D. (2023). Predicting and Evaluating Decoring Behavior of Inorganically Bound Sand Cores, Using XGBoost and Artificial Neural Networks. Applied Sciences, 13(13), 7948. https://doi.org/10.3390/app13137948

Deng, F., Li, R. & Klan, S. (2024). Traceability System of Sand Core in Casting Production with a Digital-Twin Core Rack. Inter Metalcast 18, 2525-2532. https://doi.org/10.1007/s40962-023-01192-6

Matheis, C., Buschhaus, M., Klan, S., Li R. (2025). Partikelfreisetzung und -verteilung bei der Metallbearbeitung. 53. Jahrestagung der GUS.

Hochreiter, C., Matheis, C., Buschhaus, M., Li, R. (2025). Partikelexposition bei metallbearbeitenden Prozessen - Beurteilung des Arbeitsschutzes durch Sensornetzwerk und Modellierung. GEFAHRSTOFFE 85, Reinhaltung der Luft. https://doi.org/10.37544/0949-8036-2025-09-10-44

Contact

Email / GitHub / Linkedin /