Projects

MaLeBeCo – Machine Learning Application Benchmarking on COTS Inference Processors

The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several …

STARLIT – Smarte Automatisierungs- und Roboterwerkzeuge als modulare Lösungen im industriellen Raumfahrtbereich

In-orbit servicing and in-orbit manufacturing operations are becoming increasingly important in todays and future space applications. Almost all …

M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. …

MODKOM – Modular components as Building Blocks for application-specific configurable space robots

For service operations on satellites or the exploration of foreign planets, robotic systems will be of particular interest in the future, as they are …

CIAM – Cooperative Development of a Comprehensive Integrated Autonomous Underwater Monitoring Solution

In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel …

CoRob-X_OG14 – Cooperative Robots for Extreme Environments

The project CoRob-X develops and demonstrates enabling technologies for multi-agent robotic teams. The primary target application is the exploration …

resKIL – Resource-efficient AI for Embedded Systems in Agricultural Machines

The application of AI methods appears to be useful in agriculture because the environment is highly dynamic, not fully known and not fully …

ANT – AUTONOMOUS NON-WHEELED ALL-TERRAIN ROVER

The objective of the activity is to develop the ANT navigation system for legged robots. It will be able to perceive the terrain, to plan a path to a …

INSYS – INTerpretable monitoring SYStems

The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic …

DeeperSense – Deep-Learning for Multimodal Sensor Fusion

The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their …