Fernando de Lucca Siqueira
Papers
2
Total Citations
18
H-Index
2
About
Fernando de Lucca Siqueira is a researcher dedicated to advancing the autonomy of mobile robotics, with a primary focus on intelligent navigation and energy self-sufficiency. His work addresses two critical challenges in the field: enabling robots to manage their own power supplies and imbuing their movement with contextual meaning. In his highly cited 2016 paper, "A fuzzy approach to the autonomous recharging problem for mobile robots" (12 citations), Siqueira pioneered a fuzzy logic-based system that allows robots to independently monitor and manage their energy levels, minimizing the need for human rescue interventions. Complementing this, his work on "Semantic trajectory applied to the navigation of autonomous mobile robots" (6 citations) proposes a novel framework that transforms raw positional data into meaningful, context-aware navigation paths. By integrating semantic information into robotic movement, Siqueira’s research helps robots understand and react to their environment more intelligently. These contributions are foundational for creating truly independent robots capable of long-term, unsupervised operation in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1A fuzzy approach to the autonomous recharging problem for mobile robots12 citations · 2016
- 2