معرفی
Korbinian Zöls is a Researcher at the Chair of Materials Handling, Material Flow, and Logistics at Technische Universität München (TUM), focusing on AI-driven warehouse optimization and simulation modeling.
- University: Technische Universität München (TUM)
- Department: Chair of Materials Handling, Material Flow, and Logistics
- Role: Researcher
- Contact: korbinian.zoels@tum.de
His research applies Deep Learning, Reinforcement Learning, and Multi-Agent Systems to develop AI-based storage and retrieval strategies, improve warehouse simulations, and optimize traditional material handling systems. He actively collaborates with Prof. Johannes Fottner and participates in conferences like the Deutscher Materialflusskongress.
Recent publications highlight trends in automated bulk material transport, contextual AI decision-making, and self-learning logistics software. His work bridges theoretical algorithm development with practical implementation in industrial environments.
Research Areas
- AI and Machine Learning in Warehousing
- Simulation-Based Optimization
- Automated Storage/Retrieval Systems
- Material Flow Analysis
- Logistics Scalability Studies
Korbinian Zöls در سایتهای دیگر
جستوجوهای مرتبط
شاید اینها هم برایتان مناسب باشند
- AAdrian SonnemannTechnical University of Munich · پژوهشگر
- SSlaheddine MestiriTechnical University of Munich · پژوهشگر
Johannes FottnerTechnical University of Munich · استاد- AAnnina MetznerTechnical University of Munich · پژوهشگر
- WWillibald GünthnerTechnical University of Munich · استاد
Iris TommeleinTechnical University of Munich · استاد