Federico Andrade
Papers
7
Total Citations
56
H-Index
5
About
Federico Andrade is a leading researcher in autonomous mobile robotics, with a focus on simultaneous localization and mapping (SLAM), active perception, and human-robot interaction. His work addresses critical challenges in enabling robots to navigate and operate reliably in complex, real-world environments. Andrade’s major contributions include the development of the **MAgro dataset**, a pioneering resource for SLAM in agricultural settings that has garnered 15 citations and is vital for advancing precision agriculture. He has also advanced active SLAM through deep reinforcement learning, introducing novel path-planning algorithms that improve exploration in unknown spaces, as detailed in his 2022 paper (12 citations). His research on active localization strategies for mobile service robots in symmetrical and open environments (8 citations) directly enhances robot safety and efficiency in human-centric spaces. Additionally, Andrade has contributed to accessible robotics with an embedded particle filter SLAM system (8 citations) and to service robotics communication through the RoboCup@Home competition, where he introduced the Latino Dataset for voice recognition (6 citations). His work on the Butiá robot for educational robotics in Uruguay highlights his commitment to broadening robotics access. With over 56 total citations, Andrade’s research is pivotal for creating more autonomous, secure, and interactive service robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2DA-SLAM: Deep Active SLAM based on Deep Reinforcement Learning12 citations · 2022
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- 7ROBÓTICA EDUCATIVA EN URUGUAY: DE LA MANO DEL ROBOT BUTIÁ3 citations · 2013