Autonomous Intelligent Modular Pod Architecture (AIM Pods) v1.0
Abstract
The Autonomous Intelligent Modular Pod Architecture (AIM Pods) v1.0 defines a buildable, near‑term logistics and shielding system for deep‑space missions. AIM Pods are intelligent, self‑propelled clip‑on mass elements that attach flush to a vehicle’s structural spine using side‑mount rail interfaces, forming a reconfigurable layer of water‑mass shielding, logistics storage, and propellant feedstock. Each AIM Pod is a fully autonomous hardware module containing a central water/propellant tank, micro‑propulsion clusters, navigation sensors, avionics, and a recessed rail‑mount clamp system. Pods manoeuvre independently using low‑thrust micro‑propulsion, perform lateral translation to seat into structural rails, and operate as free‑flying depot nodes when detached. When mounted, pods form a continuous shielding band that can be repositioned to optimise radiation attenuation, centre‑of‑gravity alignment, and thrust‑line stability. The architecture is grounded entirely in non‑speculative engineering: ISS‑heritage clamp mechanisms, CubeSat‑class micro‑propulsion, water‑mass shielding physics, and deterministic formation‑flight algorithms. AIM Pods integrate cleanly with GNMT‑class propulsion systems but remain vehicle‑agnostic, enabling modular logistics, distributed depots, and adaptive shielding for a wide range of deep‑space mission profiles. AIM Pods v1.0 includes: System architecture and reference pod geometry Structural, thermal, and materials design Autonomy and cooperative control framework Micro‑propulsion and installation dynamics Logistics, shielding, and depot‑mode behaviours Safety, fault management, and TRL assessment Mathematical appendix for docking, formation flight, and shielding performance Updated mass tables (180–240 kg dry; 1.1–1.35 t wet) This release provides a reviewer‑ready, manufacturable baseline for intelligent mass management in deep space, enabling missions to treat water, logistics mass, and shielding not as static payloads but as active, reconfigurable spacecraft subsystems.
Fields of Study & Subjects
Spacecraft Design and Technology
Modular Robots and Swarm Intelligence
Space Technology and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Document type
- Preprint