Who we are
Orion Labs is an applied robotic research institution focused on solving interesting and important problems of our time. Our corporation applies machine learning to difficult challenges in robotics utilizing an interdisciplinary approach to problem solving. We are experts in:
Robotics
We tackle challenges in the field of robotics including autonomy, navigation of difficult environments, and localization.
Navigation & Control Systems
We help autonomous systems better understand and move through their environment.
Machine Learning
Our team applies advanced machine learning techniques to help mobile robots become smarter and more efficient.
NASA TechLeap Team QEOBS (Quantum Earth OBServatory): Quantum Machine Learning Enhanced Sensor Combination for Earth Observation
We aim to demonstrate the capabilities of classical, quantum and hybrid machine learning onboard a CubeSat. With our array of sensors we are able to evaluate quantum & classical machine learning approaches on earth observation tasks, including atmospheric gravity wave measurements or multispectral image classification and segmentation. We seek to demonstrate how on-board data processing and machine learning result in reduced downlink bandwidth.
Team QEOBS has been awarded with the NASA TechLeap Prize via the Autonomous Observation Challenge. Winners annouced here.
NASA Armstrong Research Center Press Release: here.


Sara Jennings
Orion Labs Team Leader
Philippe Ludivig
Orion Labs Robotics & Payload Specialist
Frank Soboczenski
Orion Labs Machine Learning & Mission Specialist
Team Moonraiders
Team MoonrAIders was a competitor in the NASA Centennial Challenges Space Robotics Challenge Phase 2. Our team is made up of interdisciplinary members coming from fields such as machine learning, computer vision and robotics. We have members from over 7 countries and 9 institutions. Together we are excited to tackle the challenge of developing simulated rovers to find resources on the Moon.


For more information on the NASA Centennial Challenges Space Robotics Phase 2 Competition visit their site here. Team MoonrAIders has submitted for the Qualification Round in January 2021 and was one of 22 finalists teams that made it into the Competition Round.
Team MoonrAIders has completed the competition round of Phase 2 in September 2021 and looks forward to sharing results and publications of the work. Press release here

Sara Jennings
Orion Labs Team Leader
Philippe Ludivig
University of Luxembourg Robotics Specialist
Daniel Medina
German Aerospace Center (DLR) Navigation Specialist
Frank Soboczenski
King's College London Machine Learning Specialist
Manuel Castillo-Lopez
University of Luxembourg Robotics Specialist
Atılım Güneş Baydin
University of Oxford Machine Learning Specialist
Adam Cobb
University of Oxford Machine Learning Specialist
Jose Delgado
University of Luxembourg Computer Vision Specialist
Sara Gregg
Kodiak Robotics Autonomous Systems Specialist
Francisco Lera
University of León Robotics Specialist
Valentin Bickel
Max Planck Institute Computer Vision & Lunar Specialist
Benjamin Wu
NVIDIA Robotics Specialist
Paul Wright
Stanford University & Wright AI Ltd Machine Learning Specialist
Chelsea Sidrane
Stanford University Machine Learning & Robotics Specialist
Dietmar Backes
University of Luxembourg Mapping Specialist
Ignacio Lopez-Francos
Independent Consultant Machine Learning Specialist
Swetha Pillai
Southampton University Machine Learning Specialist
Zahi Kakish
Arizona State University Robotics Specialist
Karthik Venkataramani
ASTRA Machine Learning Specialist
Sanjeev Narayanaswamy
University of Toronto Orbital Dynamics Specialist
Maciej Zurad
University of Luxembourg Robotics Specialist
Krzysztof Żurad
SpaceX Robotics Specialist
Lukas Meyer
German Aerospace Center (DLR) Robotics Specialist
Mathieu Labbe
Université de Sherbrooke Robotics Specialist
Miguel A. G. Santamarta
University of León Robotics SpecialistInterested in joining us? Get in touch!
Our Partners
Get in rouch if you would like to support us!
- Oxygen Level Partners

info [at] orionailabs . com