CV
Education
- Ph.D. in Robotics, Universidad de Zaragoza, 2024
- MSc in Industrial Engineering, Universidad de Zaragoza, 2019
- Erasmus+ exchange semester, Chalmers University of Technology, 2017–2018
- BSc in Industrial Engineering, Universidad de Zaragoza, 2016
Work Experience
- June 2023 – Present: Robotics Researcher
- ITA · Instituto Tecnológico de Aragón, Zaragoza, Spain
- January 2024 – Present: Adjunct Professor
- Universidad de Zaragoza, Zaragoza, Spain
- January 2023 – May 2023: Visiting Student
- Massachusetts Institute of Technology, USA
- October 2019 – May 2023: PhD Student in Robotics
- Universidad de Zaragoza
- Research on Active SLAM under supervision of Dr. J. A. Castellanos
- Keywords: deep reinforcement learning, neural networks, active SLAM, uncertainty, optimality criteria
- March 2019 – December 2019: Robotics Researcher
- Universidad de Zaragoza
- Studied deep learning approaches for decision making in active SLAM
- July 2018 – January 2019: Robotics Engineer
- ITA · Instituto Tecnológico de Aragón, Zaragoza, Spain
- Developed ROS-based robotic applications (Gazebo simulation, drones, SIL/HIL, visual localization, 3D reconstruction)
- March 2018 – June 2018: Intern Student
- Instituto de Investigación en Ingeniería de Aragón, Zaragoza, Spain
- Evaluated visual-inertial SLAM systems; studied uncertainty in Active SLAM
- July 2016 – September 2016: Engineering Summer Intern
- ITA · Instituto Tecnológico de Aragón
- ROS implementation of trajectory tracking algorithms based on differential flatness; experimental validation on a real robot
- December 2015 – July 2016: Intern Student
- ITA · Instituto Tecnológico de Aragón
- BSc thesis: Modeling and Characterization of SAAPIN Robot
Skills
- Programming
- Python
- C++
- MATLAB
- Robotics & Simulation
- ROS / ROS2
- Gazebo
- SIL/HIL simulation
- Research Areas
- Active SLAM
- Deep Reinforcement Learning
- Neural Networks
- Visual Localization
- 3D Reconstruction
- Languages
- Spanish (Native)
- English (Full Professional)
- French (Limited Working)
Publications
Talks
Exploiting the Graph Spectrum to Make Optimal Decisions in Active SLAM
Invited Talk at Workshop on Spectral Graph-Theoretic Methods for Estimation and Control in Robotics
Robotics: Science and Systems (RSS), Daegu, Republic of Korea, 2023,