Francisco Curado Teixeira

About

Francisco Curado Teixeira is a leading researcher in autonomous underwater vehicle (AUV) navigation, specializing in geophysical and terrain-aided navigation systems. His major contributions center on developing robust estimation filters that enable small, affordable underwater robots to navigate accurately without relying on GPS. His most influential work, "Robust particle filter formulations with application to terrain‐aided navigation" (2016, 72 citations), addresses critical challenges in underwater positioning by creating efficient filters that handle complex environmental data. Teixeira pioneered magnetic-based geophysical navigation (MAGNAV), as demonstrated in his 2018 paper on the MEDUSA GN system (15 citations), which exploits seafloor geomagnetic features to correct dead-reckoning drift. His integrated geophysical navigation system (2018, 14 citations) combines bathymetric and magnetic methods, significantly advancing autonomous underwater operations. Beyond underwater applications, Teixeira has innovated in millimeter-wave radar interference for robot self-positioning (2019, 7 citations) and indoor intrusion detection (2019, 3 citations). His work has been supported by major European projects including WiMUST, and he has collaborated internationally with institutions like KAIST. With over 130 total citations, Teixeira's research continues to shape the future of autonomous navigation in challenging environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Robust particle filter formulations with application to terrain‐aided navigation

   72 citations · 2016
2. 2
   AUV geophysical navigation using magnetic data — The MEDUSA GN system

   15 citations · 2018
3. 3
   An Integrated System for Geophysical Navigation of Autonomous Underwater Vehicles.

   14 citations · 2018
4. 4
   Magnetic signal processing methods with application to geophysical navigation of marine robotic vehicles

   9 citations · 2016
5. 5
   Robust methods of magnetic navigation of marine robotic vehicles

   8 citations · 2017
6. 6
   Robot Self Position based on Asynchronous Millimetre Wave Radar Interference

   7 citations · 2019
7. 7
   Experimental validation of magnetic navigation of marine robotic vehicles**Funding: This research was supported in part by the European project WiMUST (GA No. 645141) and the Portuguese FCT funding program [PEst-OE/EEI/LA0009/2011]. The authors gratefully acknowledge the sponsorhip of the South Korean Agency for Defense Development under a collaborative research agreement between KAIST and IST.

   6 citations · 2016
8. 8
   Asynchronous mmWave Radar Interference for Indoor Intrusion Detection

   3 citations · 2019

Key Collaborators

Contact & Links