The autonomous space fleet proposed in the REMORA project utilizes six CubeSats to characterize near-Earth asteroids, leveraging the NEAR software suite for fuel-minimal navigation and minimal ground-operator oversight.
The REndezvous Mission for Orbital Reconstruction of Asteroids (REMORA) is a groundbreaking proposal submitted to the U.K. Space Agency’s 2035 Space Frontiers program to track multiple near-Earth objects using a swarm of CubeSats.
By using the NEAR software suite—including dynNEAR for modeling and goNEAR for pathfinding—the mission aims to characterize asteroids in situ, providing detail far beyond what ground-based remote sensing telescopes can currently offer.
Understanding the autonomous space fleet
The autonomous space fleet refers to the REMORA mission’s swarm of six CubeSats designed to tag, track, and characterize near-Earth asteroids independently. By utilizing NEAR navigation software, these probes operate without direct human input to minimize mission costs.
This architecture allows each individual satellite to attach to or orbit specific asteroids. It provides a cost-effective method for studying the physical composition of cosmic bodies within a €50 million budget.
Utilizing the autonomous space fleet reduces the logistical burden on ground operators. This technological shift is essential for conducting deep-space scientific missions under current budgetary constraints faced by national space agencies.
Remora mission architecture and CubeSats

The mission functions like the remora fish, with satellites attaching to “shark-like” asteroids for symbiotic observation. Each CubeSat in the autonomous space fleet carries specialized instruments to perform orbital reconstruction. This swarm approach ensures that multiple targets are characterized simultaneously, maximizing the scientific return for researchers across the United Kingdom.
Budgetary constraints and NEAR software
NEAR software calculates fuel-minimal reserves on the fly. This enables the autonomous space fleet to navigate complex gravitational environments without requiring constant telemetry. These software components are currently under development to ensure mission safety.
| Component | Function | Status |
| NEAR | Core Navigation | Active Development |
| dynNEAR | Dynamic Modeling | Prototyping |
| goNEAR | Pathfinding | Research Phase |
Scientific importance and theories
Theories suggest that in situ characterization is vital because remote sensing provides limited data on asteroid density. The autonomous space fleet serves as a pilot study for future space resource economies. It bridges the gap between planetary defense and mining by providing high-fidelity maps of mineral compositions.
United Kingdom space industry advantages

Hardware-in-the-loop testing occurs at the University of Liverpool’s Zero-G Astrolab. Proving the mission requires epoxy air-bearing floors to simulate microgravity. Integrating these CubeSats into Surrey Satellite Technology’s future payloads offers a domestic funding pipeline for UK researchers.
Planetary defense and sunward blind spots
The mission targets critical gaps in planetary defense through the following strategic objectives summarized from the sources:
- Tracking asteroids arriving from the sunward “blind spot.”
- Investigating the 350-meter-wide Apophis during its 2029 approach.
- Enhancing global awareness of near-Earth object threats.
Implications and what comes next
Future success depends on Phase 0 pilot studies with industrial partners like SSTL. These studies will integrate the swarm concept into larger commercial missions as a secondary payload.
Expanding this architecture to private organizations could revolutionize the space resource economy. Autonomous navigation will be the standard for future swarms exploring the mineral-rich regions of our solar neighborhood.
Conclusion
While the budget remains a hurdle, the technical foundation for the autonomous space fleet is ready. This mission architecture represents the future of low-cost planetary exploration and defense. Explore more regarding deep space on our YouTube channel—join NSN Today.



























