Papers
1
Total Citations
6
H-Index
1
About
Andrei Vulpe is a researcher focused on autonomous systems and computer vision, with a particular emphasis on developing affordable, multi-purpose robotic platforms. His most-cited work, "Implementation of an autonomous mobile platform based on computer vision" (2017, 6 citations), introduces a system capable of recognizing defined targets and navigating autonomously between them with minimal human input—requiring only the definition of main objectives. This contribution addresses the growing public demand for cost-effective autonomous robots by demonstrating how computer vision can enable reliable, self-directed navigation in real-world environments. Vulpe’s research bridges the gap between advanced robotics and practical accessibility, offering a scalable framework for applications ranging from logistics to assistive technologies. His work has been cited by peers exploring similar low-cost autonomous solutions, underscoring its relevance in the field. By prioritizing affordability and autonomy, Vulpe contributes to making intelligent robotic systems more attainable for broader use, positioning his research at the intersection of computer vision, mobile robotics, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Implementation of an autonomous mobile platform based on computer vision6 citations · 2017