Jon Azpiazu
Papers
5
Total Citations
122
H-Index
3
About
Jon Azpiazu is a robotics researcher whose work bridges bio-inspired design and autonomous underwater systems. His primary research areas include snake robot locomotion, perception-driven navigation, and subsea vehicle autonomy. Azpiazu’s most influential contributions center on obstacle-aided locomotion for snake robots, where he has systematically reviewed and advanced the state of the art—his 2017 paper on this topic has garnered 75 citations, while a related 2016 review has accumulated 31. These works explore how snake robots can mimic biological snakes to traverse complex, confined environments, enabling them to carry sensors and tools into hazardous areas inaccessible to humans or traditional robots. In parallel, Azpiazu has contributed to the autonomy of Remotely Operated Vehicles (ROVs) for subsea inspection, maintenance, and repair. His 2016 paper on scalable, modular localization for ROVs (11 citations) was part of the NextGenIMR project, funded by the Research Council of Norway, Statoil, and FMC Technologies. He also developed the Vind framework for multi-sensor localization, emphasizing human-readable configuration. Azpiazu’s work has practical implications for improving safety and cost-effectiveness in hazardous environments, from disaster zones to deep-sea operations.
Research Focus
Key Achievements
Top Papers
- 1
- 2A review on perception-driven obstacle-aided locomotion for snake robots31 citations · 2016
- 3
- 4Semantic Framework for Social Robot Self-Configuration3 citations · 2013
- 5Vind2 citations · 2016