Luis Pedraza

Universidad Politécnica de Madrid

Papers

3

Total Citations

20

H-Index

3

About

Luis Pedraza is a robotics researcher whose work focuses on the fundamental challenge of simultaneous localization and mapping (SLAM)—enabling robots to navigate and understand unknown environments in real time. His most influential contribution is the development of **Dual FastSLAM**, introduced in a 2008 paper that has garnered 13 citations. This method advances the particle-filter-based SLAM solution by introducing a dual factorization approach, improving computational efficiency and robustness in complex, dynamic settings. Pedraza’s research is particularly notable for its practical application: in a 2008 study, he demonstrated a navigation system that allows a mobile robot to autonomously return to its starting point after completing a route, even in crowded, low-structured indoor environments. This work, titled *"ROBOT GOES BACK HOME DESPITE ALL THE PEOPLE,"* highlights his commitment to deploying SLAM in real-world, human-populated spaces. By bridging theoretical advances in probabilistic robotics with tangible navigation solutions, Pedraza has laid important groundwork for autonomous systems that operate reliably alongside people.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Dual FastSLAM: Dual Factorization of the Particle Filter Based Solution of the Simultaneous Localization and Mapping Problem
13 citations · 2008
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universidad Politécnica de Madrid

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago