Roxana Mata

Papers

Total Citations

H-Index

About

Roxana Mata is a pioneering researcher in mobile robotics, with a primary focus on advancing memory and data management systems for autonomous navigation. Her most influential work, "SLAMinDB: Centralized graph databases for mobile robotics" (2017), has garnered 8 citations and introduces a groundbreaking framework that redefines how robotic systems handle memory recall. By proposing a separation of computation from data, Mata enables robots to perform more complex inference tasks—such as simultaneous localization and mapping (SLAM), path planning, and environmental visualization—through centralized graph databases. This innovation addresses a critical bottleneck in robotics: the need for efficient, scalable memory architectures that support real-time decision-making. Her contributions are particularly notable for bridging the gap between database theory and practical robotic applications, offering a novel approach that enhances both performance and flexibility. Mata’s work stands out for its potential to simplify system design while expanding cognitive capabilities in autonomous agents, making her a key figure in the evolution of intelligent robotic systems. Her research continues to inspire new directions in memory-centric robotics, emphasizing the power of data abstraction in complex, dynamic environments.