Sara Roos

Sara Roos-Hoefgeest

PhD

University of Oviedo

About Me

Hi, I’m Sara Roos-Hoefgeest, a Postdoctoral Researcher at the University of Oviedo. My research focuses on Computer Vision, Robotics, and Artificial Intelligence, exploring innovative solutions in these fields.

Beyond academia, I’m passionate about sports. I enjoy basketball, bouldering, and running as part of my regular routine. Whenever I have more time, I also love skiing and surfing, and recently, I’ve taken on the challenge of triathlons.

Interests

Computer Vision
Robotics
Artificial Intelligence

Education

PhD in Energy and Process Control
University of Oviedo
Master's in Automation and Industrial Informatics
University of Oviedo
BSc Industrial Electronic and Automatic Engineering
University of Oviedo

Featured Publications

Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection"

Reinforcement Learning

Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection"

This paper presents a Reinforcement Learning-based approach to optimize robot inspection trajectories for profilometric sensors, dynamically adjusting sensor pose for precise scanning, validated through simulations and real-world experiments with a UR3e robotic arm.

Apr 3, 2025

Feb 13, 2025

Simulation of Laser Profilometer Measurements in the Presence of Speckle Using Perlin Noise

Laser Triangulation Profilometry

Simulation of Laser Profilometer Measurements in the Presence of Speckle Using Perlin Noise

This paper presents a simulation model for high-resolution profilometric sensor inspection, incorporating geometrical and noise modeling (Perlin and Gaussian noise) to replicate real sensor readings and validate accuracy against real scans.

Sep 2, 2023

A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks

Unmanned Aerial Vehicles

A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks

This paper proposes a UAV-based visual inspection system for autonomous pipeline tracking and defect detection in industrial plants, using a depth sensor for navigation and analysis in GPS-denied environments.

Jun 26, 2023

Block Matching Mosaicing for Surface Inspection Using an Autonomous Mobile Robot

Autonomous Mobile Robot

Block Matching Mosaicing for Surface Inspection Using an Autonomous Mobile Robot

This paper presents a method for creating a high-resolution (1mm/pixel) panorama of large plates using a mobile robot with RGB-D cameras, enabling defect detection with perspective correction and errors below 2%.

Nov 10, 2021

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Recent Publications

Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Alvarez, Rafael C. González (2025). Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection". MDPI Sensors.

(2025). . Preprint.

Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Álvarez, Rafael C González (2023). Simulation of Laser Profilometer Measurements in the Presence of Speckle Using Perlin Noise. MDPI Sensors.

Sara Roos-Hoefgeest, Jonathan Cacace, Vincenzo Scognamiglio, Ignacio Álvarez, Rafael C. González, Fabio Ruggiero (2023). A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks. In ICUAS.

PDF Cite Video DOI

Sara Roos-Hoefgeest, Ignacio Alvarez Garcia, Rafael C. Gonzalez (2021). Block Matching Mosaicing for Surface Inspection Using an Autonomous Mobile Robot. In IECON.

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