Ana Maria Nascimento
Papers
3
Total Citations
21
H-Index
3
About
Ana Maria Nascimento is a leading researcher in multi-robot systems, with a focus on autonomous aerial and ground robotics for industrial and environmental applications. Her work centers on coverage path planning, heterogeneous robot coordination, and vision-based autonomous navigation. In her most cited paper (10 citations), she introduced the IAWSTC algorithm, an improved spanning tree-based method that enables multiple UAVs to efficiently cover large, cluttered areas while dynamically avoiding unexpected obstacles—a critical advance for search-and-rescue and environmental monitoring. She further extended these ideas to warehouse logistics, proposing a heterogeneous multi-robot system (8 citations) that integrates aerial and ground robots for automated inventory management, addressing scalability and efficiency in large distribution centers. Her third notable work (3 citations) tackles the Flying Robot Trial League challenge, developing a vision-based K-nearest neighbor approach for multi-UAV search and landing under energy constraints. With a growing citation record, Nascimento’s contributions are shaping the future of autonomous multi-robot coordination, bridging theory and practical deployment in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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