Amin Chabi
CEO
Lúnasa Space
Lnasa develops a reusable orbital transfer vehicle for in-space satellite transportation, enabling access to high-Earth orbits. Their service expands satellite capabilities and lifespan through in-orbit services.
- Aerospace
- Artificial Intelligence
- Autonomous Vehicles
- Robotics
Updated 6 months ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
The increasing congestion of Earth's orbit with malfunctioning satellites poses a significant threat to current and future space operations. Legacy Rendezvous and Proximity Operations (RPO) capabilities are limited and costly, hindering critical space sustainability missions such as Active Debris Removal, Satellite Life Extension, and Collision Avoidance.
Solution
Lúnasa develops mission-enabling technologies for in-space servicing, assembly, and manufacturing (ISAM), focusing on autonomous Rendezvous and Proximity Operations (RPO). Their core product, the StarLogic system, is an advanced vision-based navigation solution that enables autonomous guidance and docking for satellite servicing, active debris removal, and formation flying. Lúnasa's technology enhances spacecraft intelligence, security, and resilience through innovations in satellite navigation, onboard computing, and digital twinning. They also offer a high-fidelity ground-based testbed (Cosmic Lab) for validating Guidance, Navigation, and Control (GNC) systems for satellite servicing, ensuring reliable RPO through realistic simulations.
Target Audience
Lúnasa targets satellite primes, operators, and launch service providers requiring advanced and affordable RPO solutions, as well as organizations involved in in-orbit servicing, active debris removal, and formation flying missions.
Features
- StarLogic: An AI-driven, autonomous vision-based navigation system for precise 3D pose estimation of moving targets.
- Dual onboard processors and redundant sensors for robust performance in challenging conditions.
- High-fidelity Cosmic Lab testbed with 6-DoF modular robotic arms and adaptable lighting for simulating various orbital conditions.
- AI/ML framework support, including Pytorch.
- Interfaces: CAN, I2C SPI, RS422/485, UART, SpaceWire, Ethernet, PCIe.
- Real-Time Clock and Floating Point Unit supporting single/double precision (IEEE-754).