New research methodology for selecting AMRs.

Intralogistics

Scientific insights for smarter production systems.

We are pleased to announce our scientific publication in the journal Production Engineering, developed as part of the SIMOBOT research project in collaboration with Frankfurt University of Applied Sciences, SimPlan AG and our partner SYNAOS. 

The study introduces a practice-oriented methodology for analyzing dynamic production environments and supports decision-makers in selecting mobile transport robots with the optimal level of autonomy. 

For AUMOVIO Robotic Solutions, this publication underlines the importance of research and scientific collaboration as key drivers of innovation and technological excellence. By closely linking applied research with industrial practice, we aim to sustainably enhance the efficiency, flexibility and resilience of modern production systems. 

 

Want to learn more

This project (HA-Projekt-Nr.: 1771/24-118) is funded within the framework of the Innovation Promotion Hesse from LOEWE – Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz, Funding Line 3: KMU-Verbundvorhaben.

All News & Updates