activity
20182026
most citedScalable Many-Objective Pathfinding Benchmark Suite

32 citations · 60 across the 12 of their papers we have counts for

collaborators

15 papers

cs.RO2026

PREVENT-JACK: Context Steering for Swarms of Long Heavy Articulated Vehicles

Adrian Baruck, Michael Dubé, Christoph Steup +1

In this paper, we aim to extend the traditional point-mass-like robot representation in swarm robotics and instead study a swarm of long Heavy Articulated Vehicles (HAVs). HAVs are…

cs.RO2025

AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles

Adrian Schönnagel, Michael Dubé, Christoph Steup +2

This paper presents a novel approach to avoiding jackknifing and mutual collisions in Heavy Articulated Vehicles (HAVs) by leveraging decentralized swarm intelligence. In contrast…

physics.comp-ph2025

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches

Julia Reuter, Hani Elmestikawy, Sanaz Mostaghim +1

Drag forces on particles in random assemblies can be accurately estimated through particle-resolved direct numerical simulations (PR-DNS). Despite its limited applicability to rela…

eess.SY2025

Multi-Objective Optimization Algorithms for Energy Management Systems in Microgrids: A Control Strategy Based on a PHIL System

Saiful Islam, Sanaz Mostaghim, Michael Hartmann

In this research a real time power hardware in loop configuration has been implemented for an microgrid with the combination of distribution energy resources such as photovoltaic,…

cs.AI2024

Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies

Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim

Many works in the domain of artificial intelligence in games focus on board or video games due to the ease of reimplementing their mechanics. Decision-making problems in real-world…

cs.LG2024

Unit-Aware Genetic Programming for the Development of Empirical Equations

Julia Reuter, Viktor Martinek, Roland Herzog +1

When developing empirical equations, domain experts require these to be accurate and adhere to physical laws. Often, constants with unknown units need to be discovered alongside th…