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CoreLab - Projects

Research in Robotic Sorting on a Cobot Demonstrator

VLM Cobot

The AI-powered cobot combines robotics with a powerful vision-language model (VLM) interface. This enables it to recognise, classify and sort any objects – without the need for manual programming.

The AI-powered cobot combines robotics with a powerful vision-language model (VLM) interface. This enables it to recognise, classify and sort any objects – without the need for manual programming.

KI-Basierter Airhockey Roboter

Roboter Airhockey Tisch

Our air hockey system combines a physical table with an AI-controlled robot that has been trained using reinforcement learning. The training takes place initially in a realistic simulation before the strategies are applied to the real table.

A key area of research is the Sim2Real gap – the challenge of reliably transferring skills learnt in simulation to the real world.

Our air hockey system combines a physical table with an AI-controlled robot that has been trained using reinforcement learning. The training takes place initially in a realistic simulation before the strategies are applied to the real table.

A key area of research is the Sim2Real gap – the challenge of reliably transferring skills learnt in simulation to the real world.

Schraubensortierer mit KI

Schaubensortierer

This innovative screw sorter uses state-of-the-art AI technologies to precisely identify and sort screws using a camera. Through the use of unsupervised learning, the screws are automatically clustered based on their visual characteristics – without the need for any prior manual classification.

This innovative screw sorter uses state-of-the-art AI technologies to precisely identify and sort screws using a camera. Through the use of unsupervised learning, the screws are automatically clustered based on their visual characteristics – without the need for any prior manual classification.

Electronic Scooters

In Progress

KI-Energieverbrauch Prüfstand

Prüfstand zur Energiemessung

Our test bench enables the precise analysis of the energy consumption of AI algorithms. Using high-resolution measurement systems, various models and workloads can be tested.

Our test bench enables the precise analysis of the energy consumption of AI algorithms. Using high-resolution measurement systems, various models and workloads can be tested.

RL-based Robotic Arms

In Progress

Self-playing Labyrinth

In Progress

Modellauto für ​autonomes Fahren

Modellauto

Our model vehicle is equipped with state-of-the-art sensor technology – including LiDAR, cameras and a wide range of other sensors. A high-performance GPU enables complex algorithms to be processed directly on board.

This system provides a safe and cost-effective platform for developing and testing autonomous driving technologies and driver assistance systems on a small scale – without any of the risks associated with real vehicles.

Our model vehicle is equipped with state-of-the-art sensor technology – including LiDAR, cameras and a wide range of other sensors. A high-performance GPU enables complex algorithms to be processed directly on board.

This system provides a safe and cost-effective platform for developing and testing autonomous driving technologies and driver assistance systems on a small scale – without any of the risks associated with real vehicles.

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