Doctoral researcher · SnT · UniLu

Asier Bikandi-Noya.
comparing the world we see with the world we drew.

Hi, I’m Asier, a doctoral researcher at the University of Luxembourg (SnT), part of the Automation & Robotics Group. My PhD is carried out in collaboration with an industrial partner working on AR for construction. Before starting my PhD, I worked as a Robotics & Computer Vision Engineer at Mondragon Assembly.

My research focuses on spatial AI, with a particular emphasis on visual SLAM for indoor environments. I work on integrating prior knowledge (such as BIM models or floorplans) into the SLAM back-end to enable accurate localization and 3D scene understanding. A key part of my work is leveraging hierarchical concepts in the environment, from high-level structures like rooms and corridors down to walls and objects, to align and compare as-built and as-planned representations.

Recently, I have also been working with multi-camera setups, including binocular fisheye configurations that provide a 360° field of view. Applications of this line of research include construction monitoring with AR, where on-site deviations can be detected and visualized in real time.

01 · Publications

Papers, preprints, and workshop work.

  • 2026
    Journal
    SMapper sensor rig J · 1

    SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking

    P. M. B. Soares, A. Tourani, M. Fernandez-Cortizas, A. Bikandi-Noya, et al.

    Journal of Intelligent & Robotic Systems · Art. 23 · contributing author

  • 2026
    Workshop
    COMPASS polar agreement plot W · 2

    COMPASS: COmpact Multi-channel Prior-map And Scene Signature for Floor-Plan-Based Visual Localization

    M. Shaheer, M. Fernandez-Cortizas, A. Bikandi-Noya, H. Voos, et al.

    ICRA 2026 Workshop on Robots Meet Prior Maps · Vienna · contributing author

  • 2026
    Workshop
    Passage-Aware structural mapping figure W · 3

    Passage-Aware Structural Mapping for RGB-D Visual SLAM

    A. Tourani, M. Fernandez-Cortizas, S. Ejaz, D. P. Saura, A. Bikandi-Noya, et al.

    ICRA 2026 Workshop on Robots Meet Prior Maps · Vienna · contributing author

02 · Honors

Awards & recognitions.

Jul 2025

Best Poster — 2nd place

ICRA 2025 · Future of Construction Workshop · Atlanta

Proposed a Visual-SLAM approach that uses BIM constraints to reduce trajectory drift in indoor construction environments.

2022 — 2024

EIT Manufacturing Scholarship

Co-funded by the European Union · TU Wien & Mondragon Unibertsitatea

Selected for the Double M.Sc. programme “Human-Robot Interaction for Sustainable Manufacturing”.

03 · CV

Education & experience.

Experience

2024 — now
Doctoral researcher · industrial PhD University of Luxembourg & Gamma Tech. Kirchberg · Luxembourg
2022 — 2024
Robotics & CV engineer Mondragon Assembly — Innovation Aretxabaleta · Spain
2023 — 2024
Bachelor-project supervisor Mondragon Assembly — industrial perception & control Aretxabaleta · Spain

Education

2024 —
Ph.D. Computer Science · Robotics University of Luxembourg — SnT-ARG Kirchberg · LU
2022 — 2024
Double M.Sc. · Robotics & Control Systems TU Wien & Mondragon Unibertsitatea Vienna · AT / Mondragon · ES
2018 — 2022
B.Sc. Industrial Electronics & Automation Mondragon Unibertsitatea & Slovak University of Technology Mondragon · ES / Bratislava · SK
04 · Toolbox

What I use.

Languages
C++ · Python · MATLAB / Simulink · Bash
Frameworks
ROS 2 · OpenCV · Eigen · g2o · ORB-SLAM3
SLAM & perception
Visual SLAM · VIO · loop closure · bundle adjustment · pose-graph optimisation · sensor fusion · stereo vision
Deep learning
PyTorch (familiar) · CNNs · foundation-model integration
Hardware & sensors
RGB-D · IMU · stereo & fisheye · Intel RealSense
Simulation & tooling
Gazebo · Unity (robotics) · Docker · Git · Linux
Math & theory
Linear algebra · probability · optimisation · graph inference
Languages (spoken)
Spanish & Basque (native) · English (C1) · French (A2)
05 · Contact

Get in touch.

Happy to chat about Visual SLAM, BIM, or construction robotics — or just coffee.

I’m open to research collaborations, dataset exchanges, and conversations with industry teams working on AR for construction. Reach out by email or drop a line on LinkedIn.

Office
SnT · Maison du Savoir
2 Av. de l’Université, L-4365 Esch-sur-Alzette