Tamires dos Santos
Papers
2
Total Citations
14
H-Index
2
About
Tamires dos Santos is a researcher at the forefront of intelligent robotics and autonomous systems, with a focus on bridging the gap between computational intelligence and physical robotic coordination. Her work centers on two key areas: the interdisciplinary integration of Multi-Agent Systems (MAS) and Multi-Robot Systems (MRS), and the application of deep learning to Visual Simultaneous Localization and Mapping (SLAM). In her most-cited paper, "Toward an interdisciplinary integration between multi-agents systems and multi-robots systems: a case study" (2020, 10 citations), Santos provides a foundational framework for merging the decision-making capabilities of software agents with the physical constraints of robotic teams, offering a novel perspective on cooperative robotics. More recently, in "Loop Closure Detection in Visual SLAM Based on Convolutional Neural Network" (2023, 4 citations), she advances the robustness of autonomous navigation by leveraging CNNs to improve loop closure detection, a critical component for long-term robot localization. Though early in her career, Santos’s work demonstrates a clear trajectory toward solving complex coordination and perception challenges, making her a promising voice in the evolution of intelligent, multi-robot systems.
Research Focus
Key Achievements
Top Papers
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