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 …

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. …

ChargePal – Robot-assisted charging and power management in private and public parking spaces

The ChargePal project aims at the research and practical testing of self-sufficient mobile DC charging robots with integrated high-performance …

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 …

KI4ETA – Artificial intelligence for energy technologies and applications in production

The KI4ETA project aims to achieve energy efficiency measures and operational optimization in production through the targeted use of AI. To achieve …

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 …

DOF-Adaptiv – Adaptive Mapping of Degrees of Freedom as User Interface for an Assistive Robot

An assistive robot arm is a valuable support for people with severely reduced mobility of arm and hand, but exhausting and time-consuming to use, …

Agri-Gaia – ein agrarwirtschaftliches KI-Ökosystem

The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform …

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 …