Work Experience

Postdoctoral Research Associate

15/03/2021–Present
University of Luxembourg, Luxembourg

 

Working at the Automation and Robotics Research Group leading the research line (technical level) of situational awareness of mobile robots. My Primary focus is the developement of our novel Simultaneous Localization and Mapping (SLAM) algorithm called Situational Graphs which autonomously identifies and organizes structural elements like walls within indoor environments into a hierarchy of rooms and floors. The Algorithm is open-source – Link
Additionally, I supervise six PhD students, providing technical guidance as they extend Situational Graphs into diverse applications
I am also actively involved in the market validation of our developed SLAM technology, exploring commercialization potential within construction automation. My efforts have led to securing five Letters of Intent from prospective client companies, underscoring strong interest in our technology – Link 

Navigation and Perception Robotics Engineer

15/03/2020–14/03/2021
Blue Ocean Robotics, Odense (Denmark)

 

Researched on implementing a robust Visual SLAM algorithm with map generation and re-utilization capabilities for localization and navigation of mobile robotic platforms like GOBE and UVD-R in large and dynamic indoor environments. 

Postdoctoral Researcher

28/11/2019–15/03/2020
Computer Vision and Aerial Robotics Group,
Universidad Politécnica de Madrid, Madrid (Spain)

 

Conducted research for Challenge 1 of the Mohamed Bin Zayed International Robotics Competition (MBZIRC) 2020, which focused on developing an autonomous drone for interception of a ball from a target moving at speeds of 5-8 m/s, and for bursting balloons within the arena. Our team achieved Third Prize in the Grand Challenge by successfully detaching the ball from the target robot and bursting multiple balloons. My main research contributions included:
  • State Estimation of the Aerial Robot
  • Future Trajectory Estimation of the Target Aerial Robot
  • State Machine for Exploding Balloons

Researcher and PhD Student

01/2015–11/2019
Computer Vision and Aerial Robotics Group,
Universidad Politécnica de Madrid, Madrid (Spain)

 

During my PhD, I focused on indoor localization and mapping for aerial robots using advanced computer vision and sensor fusion techniques. One of my key projects involved robust indoor localization using semantic cues like chairs and tables.
I also contributed to projects on autonomous aerial inspection of thermal power plants and airplanes. As team leader at the 2017 International Micro-Aerial Vehicles (IMAV) competition, we secured second place, and in 2016, our team was the only one to complete a fully autonomous mission.
Additionally, I developed and maintained Aerostack, a ROS-based software framework, which supported algorithms for autonomous indoor navigation of aerial robots  – Link 

Visiting PhD Student

15/03/2019–31/05/2019 
Aerospace Controls Lab, Massachusetts Institute of Technology, Boston (United States)

 

I worked as a visiting student at the Aerospace controls Lab at the MIT. I researched on the semantic localization and mapping techniques for aerial robots in the indoor environments. The developed semantic SLAM algorithm was capable of running on-board the aerial robot and accurately estimating the pose of the robot at speeds of about 2m/s.

Assistant Operations Manager

07/2015–12/2015
Airpix – Unleashing Aerial View, Mumbai (India)

As Assistant Operations Manager at Airpix, I had 3 main roles:

  • Designing and assembling several customizable Quadcopter systems
  • R&D on several Unmanned Aerial Systems
  • Data collection (Collection of aerial data for several clients)

Projects

Autonoumous Robot for Construction Site

15/03/2021–1/10/2023
University of Luxembourg

 

Developed software for autonomous robotic inspection of construction sites.

Airplane Inspection using Autonomous Drone

1/10/2018–1/10/2019
Universidad Politécnica de Madrid, Madrid (Spain)

 

Developed software for autonomous drone for inspection of an airplane.

Inpsection of Boiler using Autonomous Drone

1/10/2017–1/10/2019
Universidad Politécnica de Madrid, Madrid (Spain)

 

Developed software for autonomous drone for inspection of a thermal boiler.

Skills

Software

C/C++
ROS
Python
GIT
Matlab

Additional Skills

Robot Assembly and Integration
Drone Piloting
Team Management up to 10 member
Web Design