Sergio Quijano
Papers
1
Total Citations
3
H-Index
1
About
Sergio Quijano is a leading researcher in autonomous underwater robotics, with a focused expertise in mission planning and safety assurance for offshore infrastructure inspection. His major contribution lies in developing a novel framework based on Behavior Trees that enables autonomous underwater vehicles (AUVs) to dynamically adapt their inspection missions in real time, rather than relying on rigid, predefined plans. This work, published in 2024 in his most-cited paper, "Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework Based on Behavior Trees," has already garnered 3 citations, signaling its growing influence in the field. Quijano’s approach enhances both the flexibility and safety of AUV operations, addressing critical challenges in the inspection of subsea pipelines and other offshore assets. By integrating real-time decision-making with robust safety assessment, his research promises to reduce mission failures and improve the reliability of autonomous inspections. This achievement positions him as an emerging authority in marine robotics, with his work laying the groundwork for more resilient and intelligent underwater systems.
Research Focus
Key Achievements
Top Papers
- 1