Salvador Moreno

Universitat de València

Papers

1

Total Citations

2

H-Index

1

About

Salvador Moreno is a robotics researcher whose work focuses on autonomous navigation and the Simultaneous Localization and Mapping (SLAM) problem, particularly for legged robots. His most cited paper, "Map Building including Qualitative Reasoning for Aibo Robots" (2006), addresses the challenge of enabling a robot to autonomously build a map of its environment while localizing itself within it—a core problem in mobile robotics. Moreno’s contribution lies in integrating qualitative reasoning into the SLAM framework, allowing robots to handle incomplete or uncertain spatial information more effectively. Although his citation count is modest, with 2 citations for this key work, his research is foundational for those exploring qualitative approaches to mapping in robotics. His work is particularly notable for its application to Sony’s Aibo robots, demonstrating how low-cost platforms can be used to tackle complex navigation problems. For students and researchers, Moreno’s research offers a valuable perspective on combining symbolic reasoning with probabilistic mapping techniques, a niche but important area in the broader field of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Map Building including Qualitative Reasoning for Aibo Robots
2 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Universitat de València

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago