Anna Vasileva

Fraunhofer Institute for Material Flow and Logistics

Papers

Total Citations

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About

Anna Vasileva is a leading researcher in autonomous multi-robot systems, with a primary focus on the safety, reliability, and operational efficiency of Automated Guided Vehicle (AGV) fleets in industrial logistics. Her work addresses critical challenges in real-world automation, particularly in production and warehousing environments. Vasileva’s major contributions include pioneering strategies for mitigating emergency stop collisions in AGV fleets during control failures—a vital safety advancement for dynamic transport operations. She has also developed systematic approaches for autonomous troubleshooting, enabling systems to manage faults and adapt behavior without human intervention, pushing the boundaries of true system autonomy. In the domain of warehousing, Vasileva introduced the CROSSStacks dataset and simulative studies on storage allocation for cross-docking block-stacking warehouses, optimizing the temporary storage of goods in high-throughput logistics centers. Her research, though recent, has already garnered citations (4 for her AGV collision work, 3 for troubleshooting, and 1 for warehousing), reflecting its growing impact. Vasileva’s work is essential reading for researchers and engineers seeking to build more robust, self-healing, and efficient autonomous material handling systems.