Alexandru Matei
Papers
2
Total Citations
10
H-Index
2
About
Alexandru Matei is a researcher focused on advancing autonomous systems and intelligent manufacturing, with key contributions in robotics and multi-agent control. His most cited work, "Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory" (2023, 6 citations), tackles a critical challenge in logistics and healthcare robotics by leveraging deep learning to improve travel time predictions for autonomous mobile robots (AMRs), enhancing operational efficiency and planning. In "Designing a Multi-agent Control System for a Reconfigurable Manufacturing System" (2023, 4 citations), Matei explores distributed control architectures for flexible production environments, enabling adaptive and scalable manufacturing processes. Though early in his career, his work demonstrates a clear impact in bridging AI and robotics for real-world applications, with citations reflecting growing interest from the automation and Industry 4.0 communities. Matei’s research is particularly notable for its practical focus on deploying intelligent systems in dynamic settings, offering valuable insights for students and engineers working on autonomous navigation and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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