DFKI Agents and Simulated Reality
Research group at the German research center for Artificial Intelligence
Saarbrücken, Germany
Pinned Repositories
atlas
Advanced Threedimensional Large-scale Asset Server
BMBF-MOSAIK
https://mosaikprojekt.de/
BMWi-SmartMaaS
https://smart-maas.eu/en/
compass
Collaborative Modular Prototyping And Simulation Server
MMIUnity-TargetEngine
MMU-Generator
morphablegraphs
Library for motion modelling and synthesis using statistical models.
MOSIM
MOSIM-Unity
xengine
DFKI Agents and Simulated Reality's Repositories
dfki-asr/morphablegraphs
Library for motion modelling and synthesis using statistical models.
dfki-asr/MOSIM
dfki-asr/xengine
dfki-asr/kube-utils
Collection of useful Kubernetes utilities
dfki-asr/lvm-volume-backup
Tools for LVM volume backup
dfki-asr/MMIUnity-Core
dfki-asr/MMIUnity-TargetEngine
dfki-asr/MMU-Generator
dfki-asr/MOSIM-CSharp
dfki-asr/MOSIM-Python
dfki-asr/MOSIM-Unity
dfki-asr/nvidia-dev-ctl
Command line tool for NVIDIA devices (GPUs and vGPUs)
dfki-asr/PedestrianData
dfki-asr/MMI-UnrealPlugin
dfki-asr/MMICSharp-Core
dfki-asr/MMIPython-Core
dfki-asr/asr-admin-tutorial
Scripts and commands from the asr-admin-handbook manual
dfki-asr/generative-wumpus-world
An implementation of the Wumpus World game with generative learning stigmergy agents.
dfki-asr/malicious_peer_detection_FL
dfki-asr/MOSIM-Unreal
dfki-asr/patchwise_inpainting_zcurves
dfki-asr/perf_mon_ENGAGE
In the context of the ENGAGE project in collaboration with INRIA, France
dfki-asr/SAInT
SAInT: An Interactive Tool for Sensitivity Analysis In The Loop
dfki-asr/stigLD
stigLD is a Linked Data framework for declaratively designing and implementing stigmergic hypermedia multi-agent systems.
dfki-asr/StigLD-Demo
dfki-asr/stigld-trucks-world
Implementation of the trucks world optimization problem domain with stigLD stigmergic agents
dfki-asr/volcano-k8s-examples
Examples for use with the Volcano batch scheduling system
dfki-asr/wiait22-behaviors
Agent behavior models for WI-IAT'22 demo scenario
dfki-asr/wiait22-demo
Environment with all resources necessary to load and run the demo described in the related publication for WI-IAT'22
dfki-asr/wiait22-scenario
Demo scenario from cyber-physical production as presented for WI-IAT'22