Projects

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. …

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 …

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 …

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 …

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 …

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 …

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 …

FloReST – Urban FloodResilience - Smart Tools

Partners Das Projektkonsortium besteht aus der Hochschule Koblenz (Konsortialführer), der Universität Trier, der Hochschule Trier mit dem …

KIBA – Al-assisted motion analysis and therapy

The aim of the project "Al-assisted motion analysis and therapy (KIBA)" is to establish a research infrastructure for AI-based motion analysis and …

R4Agri – Reasoning auf landwirtschaftlichen Daten - Integration von Metriken und qualitativen Perspektiven

"Entferne schädliches Unkraut auf dem Feld, aber setze keine chemischen Mittel in der Nähe eines Gewässers ein!" Bei der Durchführung …