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.
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 JenningsOrion Labs Team Leader
Philippe LudivigOrion Labs Robotics & Payload Specialist
Frank SoboczenskiOrion Labs Machine Learning & Mission Specialist
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 JenningsOrion Labs Team Leader
Philippe LudivigUniversity of Luxembourg Robotics Specialist
Daniel MedinaGerman Aerospace Center (DLR) Navigation Specialist
Frank SoboczenskiKing's College London Machine Learning Specialist
Manuel Castillo-LopezUniversity of Luxembourg Robotics Specialist
Atılım Güneş BaydinUniversity of Oxford Machine Learning Specialist
Adam CobbUniversity of Oxford Machine Learning Specialist
Jose DelgadoUniversity of Luxembourg Computer Vision Specialist
Sara GreggKodiak Robotics Autonomous Systems Specialist
Francisco LeraUniversity of León Robotics Specialist
Valentin BickelMax Planck Institute Computer Vision & Lunar Specialist
Benjamin WuNVIDIA Robotics Specialist
Paul WrightStanford University & Wright AI Ltd Machine Learning Specialist
Chelsea SidraneStanford University Machine Learning & Robotics Specialist
Dietmar BackesUniversity of Luxembourg Mapping Specialist
Ignacio Lopez-FrancosIndependent Consultant Machine Learning Specialist
Swetha PillaiSouthampton University Machine Learning Specialist
Zahi KakishArizona State University Robotics Specialist
Karthik VenkataramaniASTRA Machine Learning Specialist
Sanjeev NarayanaswamyUniversity of Toronto Orbital Dynamics Specialist
Maciej ZuradUniversity of Luxembourg Robotics Specialist
Krzysztof ŻuradSpaceX Robotics Specialist
Lukas MeyerGerman Aerospace Center (DLR) Robotics Specialist
Mathieu LabbeUniversité de Sherbrooke Robotics Specialist
Miguel A. G. SantamartaUniversity of León Robotics Specialist
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info [at] orionailabs . com