3 papers
cs.RO2026
HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving
Donald Pfaffmann, Matthias Klusch, Marcel Steinmetz
We present a novel hybrid learning-assisted planning method, named HyPlan, for solving the collision-free navigation problem for self-driving cars in partially observable traffic e…
cs.AI2025
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
Hacane Hechehouche, Andre Antakli, Matthias Klusch
There are many established semantic Web standards for implementing multi-agent driven applications. The AJAN framework allows to engineer multi-agent systems based on these standar…
cs.AI2025
CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN
Leonard Frank Neis, Andre Antakli, Matthias Klusch
User-friendly modeling and virtual simulation of urban traffic scenarios with different types of interacting agents such as pedestrians, cyclists and autonomous vehicles remains a…