Alice Kirchheim

Hierarchical Decentralized Multi-Agent Path Finding with Congestion-Aware Cost Heuristics

This paper addresses scalable Multi Agent Path Finding (MAPF) for large fleets of Automated Guided Vehicles (AGVs) in warehousing and production environments, where centralized planning becomes intractable due to NP-hard complexity and exponential growth of the joint state space. We propose a hierarchical decentralized...

UnrealMVS: A Generator for Synthetic Multi-Fisheye Omnidirectional Depth Data

Automated and Autonomous Mobile Robots in Warehousing: Definitions, Autonomy Levels, and Research Directions

The key findings show that the definitions of AGVs overlap with new AMR and MR concepts, and a spectrum of autonomy maturity levels, ranging from remotely-controlled (zero autonomy) to fully autonomous (independent) systems are introduced.

Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think

Anomaly detection is a safety-critical machine learning problem with applications ranging from fraud detection to network intrusion prevention and industrial monitoring. Despite the large number of proposed anomaly detection algorithms, many novel methods claim state-of-the-art performance. However, many authors do so...