Core Technology and Philosophy

LMO's technological approach centers on the integration of advanced sensors, on-edge AI processing, and sophisticated autonomous Guidance, Navigation, and Control (GNC) software. Their philosophy is to bring a new level of intelligence and autonomy directly to spacecraft, reducing reliance on ground-based operations and enabling real-time responses to dynamic situations in space.

Key technological pillars include:

• AI-Powered On-Board Processing: Developing and deploying machine learning and computer vision algorithms directly on satellites for real-time data analysis, object detection, identification, tracking, and characterization.
• Autonomous Navigation and Control: Creating software solutions that enable satellites to perform complex maneuvers such as Rendezvous and Proximity Operations (RPO), formation flying, and autonomous docking.
• Sensor Fusion: Combining data from multiple sensor types (e.g., visual, thermal) to provide a comprehensive and robust understanding of the space environment around a satellite.
• Edge Computing in Space: Emphasizing the processing of data directly on the spacecraft ("on-edge") to minimize latency, reduce data downlink requirements, and enable rapid decision-making.
• Dual-Use Applications: Designing solutions that cater to both commercial and defense sector needs, addressing challenges from satellite servicing to national security space operations.

Key Products and Services

LMO offers a suite of software, hardware (payloads), and full mission solutions:

• VISION? (On-Board Image Processing):

  • VISION? is LMO's proprietary on-board image processing software suite. It leverages AI and computer vision techniques to enable satellites to autonomously detect, identify, classify, track, and characterize other space objects (Resident Space Objects - RSOs) in real-time.
  • This technology is crucial for SSA applications like threat assessment and collision avoidance, as well as for IOS missions requiring precise navigation and target recognition during RPO.
  • It supports tasks like pose estimation (determining the relative position and orientation of a target object), which is vital for docking and servicing.

• SPECTRE? (Mission & AOCS Software):

  • SPECTRE? is LMO's mission and Attitude and Orbit Control System (AOCS) software. It works in conjunction with VISION? to provide autonomous GNC capabilities.
  • This software enables satellites to execute complex maneuvers, make autonomous decisions based on sensor input and mission objectives, and manage their flight dynamics efficiently.
  • It is designed to support applications like autonomous RPO, formation flying, and adaptive mission execution.

• Space Domain Awareness (SDA/SSA) Solutions:

  • "Bodyguard" Service: LMO offers a "Bodyguard" service concept where small satellites equipped with their on-orbit SDA capabilities can be deployed to monitor and protect critical space infrastructure (government or commercial satellites) by identifying and characterizing potential threats in real-time.
  • Space Surveillance & Tracking (SST): By collecting and processing data directly from space, LMO's solutions provide accurate tracking of space assets, independent of ground-based sensor limitations or weather conditions. This includes integration capabilities with ground-based tracking networks.
  • Space Asset Inspection: Using autonomous computer vision, LMO enables detailed inspection and characterization of satellites to provide status updates, health monitoring, anomaly identification, and support for servicing planning.

• In-Orbit Servicing (IOS) Payloads and Capabilities:

  • LMO develops specialized payloads that integrate their VISION? and SPECTRE? software with sensors to enable autonomous RPO for IOS missions.
  • These payloads are designed to support tasks like satellite life extension (refueling, repair), active debris removal, and in-space assembly.

• SSA Data Lake and Portal (Conceptual/In Development):

  • While not extensively detailed as a standalone product, LMO's approach involves intelligent gathering, processing, and transmission of relevant SSA data, implying the development of backend systems and interfaces for data management and dissemination to end-users.

• Hardware Solutions:

  • Beyond software, LMO also works on hardware solutions, including agile chemical propulsion systems and components for de-orbiting, collision avoidance, and proximity operations.

Key Missions and Projects

LMO is involved in several significant projects and missions, often in collaboration with space agencies and industry partners:

• ESA RISE Mission: A life-extension mission where LMO's technologies likely contribute to autonomous RPO and servicing capabilities.
• ESA DIOSSA (Development of an In-Orbit SSA Payload): A LuxImpulse (Luxembourg National Space Programme) funded ESA project where LMO, in partnership with the University of Luxembourg's SnT (Interdisciplinary Centre for Security, Reliability and Trust), is developing and validating an AI-powered SSA payload for in-orbit servicing and SST.
• EDF STAALION (Space Threats Analysis based on Automated reaL-time In-situ capabilities and Onboard processing decentralized Network): A European Defence Fund project.
• EDF SPRING (Space Based Bodyguard Satellite Definition): Another European Defence Fund project focusing on the definition of a bodyguard satellite.
• MECO/DOD AUREA (Autonomous Recognitions of Foreign Assets): A project involving autonomous recognition capabilities, with LMO partnering with In-Space Missions Ltd (UK) to explore the use of small satellite platforms for space-based SDA. LMO successfully deployed and validated an autonomous on-orbit identification technology in space as part of this program in May 2023.
• AUDACITY Mission (Autonomous Detection & Characterisation of Objects During Deployment): A mission focused on autonomous detection and characterization.
• Partnership with Katalyst Space Technologies: LMO has partnered with US-based Katalyst Space Technologies to demonstrate a novel "assisted rendezvous and proximity operations" (RPO) architecture. This mission aims to dramatically reduce the cost of spacecraft docking by combining Katalyst's architecture with LMO's VISION? & SPECTRE? edge-processing capabilities, demonstrating ML vision-based pose estimation in GEO without relying on traditional LIDAR or complex robotic servicers.

Role in the Luxembourg Space Ecosystem

LMO is a prominent player in Luxembourg's rapidly growing space sector, which is actively supported by the Luxembourg Space Agency (LSA). The company benefits from and contributes to the nation's strategy of fostering innovation in space technologies, particularly in areas like space resources, SSA, and advanced AI applications for space. LMO's collaborations with the University of Luxembourg (SnT) and its participation in ESA projects through LuxImpulse highlight its integration within the national and European space innovation framework.

LMO Autonomous Space Systems is positioning itself at the forefront of enabling more intelligent, autonomous, and sustainable operations in space, addressing critical needs for both the commercial viability and the security of the space domain.