Maximilian Zwingel

Institute of Automation, Technische Hochschule Ingolstadt

Papers

Total Citations

H-Index

About

Maximilian Zwingel is a researcher advancing the fields of robotics simulation and sustainable intralogistics. His work focuses on bridging the gap between virtual development and real-world deployment, particularly for mobile robotics systems operating within the Robot Operating System (ROS) framework. Zwingel’s most cited paper, "Robotics simulation – A comparison of two state-of-the-art solutions" (2022, 4 citations), provides a critical analysis of simulation platforms like Gazebo, evaluating their effectiveness for sensor and behavior modeling—a foundational contribution for researchers seeking reliable simulation environments. In parallel, his work "Sustainable Intralogistics due to Uniform Software and Modular Transport Entities" (2019, 4 citations) addresses the pressing need for flexible, eco-friendly production networks. By advocating for standardized software and modular transport units, Zwingel offers a pathway to more adaptable and sustainable internal logistics systems. Though his citation counts are modest, his contributions are timely, directly supporting the robotics community’s shift toward efficient, scalable, and environmentally conscious automation. Zwingel’s research is particularly valuable for students and engineers aiming to integrate simulation fidelity with real-world logistics challenges.