Projects

MARIOW – Maritime AI-Guided & Remote Operated Welding

Many tasks underwater that previously required divers to operate under dangerous conditions can now be performed by remote-controlled underwater robots. Examples include inspection and salvage. Other

REXASI-PRO – REliable & eXplAinable Swarm Intelligence for People with Reduced mObility

Artificial intelligence (AI) is being applied widely in many domains and there is a need to realize public trust in these systems. Calls are made to develop a dedicated science to study machine behavi

VaMEx3-RGE – Valles Marineris Explorer - Robust Ground Exploration

The goal of the VaMEx initiative is the development of an autonomous, heterogeneous robot swarm for the exploration of the Valles Marineris on Mars. Driving, walking, and flying systems will use their

VaMEx3-APO – VaMEx3-APO - Ausfallsichere, absolute Positions- und Orientierungsbestimmung

The goal of the VaMEx initiative is the development of an autonomous, heterogeneous robot swarm for the exploration of the Valles Marineris on Mars. Driving, walking, and flying systems will use their

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

PhysWM – PhysWM - Learning from Causal Physical World Models

The project aims at reducing the sample and model complexity of robot learning algorithms. For that, known physical equations are merged with machine learning models in order to adapt faster to unknow

PerSim – PerSim - Perception Nodes for Simulation-Based Environment Representation

PerSim - Perception Nodes for Simulation-Based Environment Representation Dieses Projekt schlägt die Integration von Informationen in einen übergeordneten vollständigen und interaktiven Prozess zur Da

FLUENTLY – Fluently - the essence of human-robot interaction

Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts

SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e

NoStrandAMust – NoStrandAMust - Bodenkontaktsimulation zur Verbesserung der Lokomotionsperformance mobiler Roboter

NoStrandAMust is a project with the goal of experimentally investigating the ground interaction of different robots and generating models for the interaction using AI methods. These models are to be u