R. Igelsiais

Papers

1

Total Citations

5

H-Index

1

About

R. Igelsiais is a pioneering researcher in mobile robotics, with a focus on cross-platform programming and system identification. Their key contributions center on developing the Robot MODIC procedure—a systematic framework for robot modelling, identification, and characterisation. This process uses nonlinear polynomial functions (NARMAX) to identify and predict robot motion, enabling a more scientific approach to mobile robot design and control. By allowing robots to be characterized through system identification rather than relying on platform-specific code, Igelsiais’s work lays the groundwork for truly cross-platform robotic systems. Their most-cited paper, “Cross-Platform Programming Through System Identification” (2005, 5 citations), is a foundational step toward a unified science of mobile robots, bridging the gap between hardware variability and software portability. Though their citation count is modest, the conceptual impact of their work is significant, offering a principled methodology that has influenced subsequent research in robot modelling and adaptive control. Igelsiais’s research continues to inspire efforts to make robotics more systematic, reproducible, and platform-independent.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Cross-Platform Programming Through System Identification
5 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago