Orion Ai Labs

Accelerating Robotics with Machine Learning

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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:


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 Specialist

Interested in joining us? Get in touch!

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info [at] orionailabs . com

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