Fernando de Lucca Siqueira

Universidade Federal de Santa Catarina

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

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A fuzzy approach to the autonomous recharging problem for mobile robots
12 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Universidade Federal de Santa Catarina

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago