Lennart Kuhr, M.Sc.

Motivation:

• Modern industrial production require its‘ systems to increase productivity, efficiency as well as autonomously adapt to changing tasks and environments
• The integration of Artificial Intelligence (A) technologies into the workflows of digital information systemens, e.g. for production planning and control (PPS), enables such adaptability by reducing the workload for humans 
• Especially generative AI provides promising capabilities as it supports agentic orchestration of multimodal workflows 

Content of the work:

• Investigation of the mentioned technologies and approaches based on a demonstrator setup in the IWF Learning Factory consisting of a PPS software prototype and an installation of the agent orchestration framework LangChain 
• Literature review, conceptualization, implementation and testing of an agentic workflow integrated into the demonstration environment

In case you are interested, please send an inquiry via email. Ideally attach your CV and transcript of records.

Lennart Kuhr

l.kuhr@tu-braunschweig.de

Art:

• Projektarbeit (Master Wirtsch.-Ing.)
• Bachelorarbeit
• Studienarbeit(Master)
• Masterarbeit

Fachrichtungen: Industrial and Mechanical Engineering, Business informatics, Data Science, and related fields
Begin der Arbeit: anytime
Zuletzt geändert: 20.08.2026

Motivation:

• Modern industrial production require its‘ systems to increase productivity, efficiency as well as autonomously adapt to changing tasks and environments
• Integrating agentic AI technologies into the cognitive perception-action loop of industrial systems enables such adaptability based on generative intelligence and learning capabilitites
• The application to versatile robots, such as humanoid robots, represents an especially promising approach

Content of the work:

• Investigation of the mentioned technologies and approaches based on a demonstrator in the IWF Learning Factory
• Conceptualization, implementation and testing the state of the art based on NVIDIA Isaaclab simulation and training environment, ROS2 middleware, Unitree G1 humanoid with two 5-finger hands as well as teleoperation equipment

Art:

• Projektarbeit (Bachelor Maschinenbau)
• Bachelorarbeit
• Studienarbeit(Master)
• Masterarbeit

Fachrichtungen: Maschinenbau, Robotik, Elektrotechnik, Data Science
Begin der Arbeit:
Zuletzt geändert: 20.08.2026

Motivation:

• Modern industrial production requires its‘ systems to increase productivity, efficiency as well as autonomously adapt to changing tasks and environments
• Integrating generative AI technologies into the quality inspection processes could enable the detection of previously unseen defect schemes (zero-shot) and at the same time enhance explainability of inspection findings in natural language

Content of the work:

• Investigate the robust deployment of Vision-Language-Models (VLMs) in industrial quality inspection systems and validate the zero-shot capability as well as explainability
• Conceptualize, implementent and test state of the art approaches based on a demonstrator setup in the Learning Factory of IWF providing vision and compute hardware, software frameworks and use cases

Art:

• Studienarbeit(Master)
• Masterarbeit

Fachrichtungen: Mechnical Engineering, Electrical Engineering and Information Technology, Data Science, ...
Begin der Arbeit:
Zuletzt geändert: 28.05.2026

Motivation:

• Modern industrial production requires its‘ systems to increase productivity, efficiency as well as autonomously adapt to changing tasks and environments
• The integration of Artificial Intelligence (A) technologies into the workflows that are required to operate robotic systems enables such adaptability by reducing the workload for humans 
• Especially generative AI provides promising capabilities as it supports agentic orchestration of multimodal workflows 

Content of the work:

• Investigation of the mentioned technologies and approaches based on a demonstrator setup in the IWF Learning Factory consisting of a Franka Emika Panda manipulator arm and an existing software stack for robust assembly operation
• Literature review, conceptualization, implementation and testing of an agentic workflow integrated into the ROS2 middleware

Art:

• Studienarbeit(Master)
• Masterarbeit

Fachrichtungen: Mechanical engineering, robotics, electrical engineering, and related fields
Begin der Arbeit:
Zuletzt geändert: 20.08.2026