C. Mataix

Universidad de Alcalá

Papers

2

Total Citations

17

H-Index

2

About

C. Mataix is a pioneering researcher in mobile robotics, specializing in sensor-based navigation, adaptive environment modeling, and autonomous path planning. Their work addresses the fundamental challenge of enabling robots to navigate dynamic, obstacle-filled environments with minimal prior information. Mataix’s major contributions include developing algorithms that integrate active laser sensors with regression-based workspace modeling, allowing robots to construct real-time environmental maps and compute optimal, collision-free trajectories. Notably, their 2003 paper on adaptive workspace modeling and alternative route planning (9 citations) introduced a method that not only detects obstacles but also dynamically recalculates paths, ensuring smooth and efficient navigation. This work is complemented by their 2001 study on wide-capture active laser sensors and environment definition (8 citations), which advanced sensor fusion techniques for robust spatial perception. Although citation counts reflect a focused niche, Mataix’s innovations are foundational for autonomous systems in industrial and service robotics, where real-time adaptability is critical. Their research continues to influence modern approaches to sensor-driven navigation and obstacle avoidance.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive workspace modeling, using regression methods, and path planning to the alternative guide of mobile robots in environments with obstacles
9 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universidad de Alcalá

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago