Project Helios

Fully autonomous Asteroid Mining and Deep Space Resource Utilization of Next Martian Networks

The project is completely open source and enthusiasts from any fields who can contribute and learn are welcomed.

Zero human intervention - a fully autonomous asteroid mining system that can operate independently across the solar system for decades without human intervention. Next Martian Inc plans to fuel the Karman+ initiative during our R&D with automated tools and quantum reinforcement learning for trajectory simulation and optimizations. We anticipate collaborating in the mission to conduct autonomous deep space asteroid missions, mining effectively in zero gravity, and processing resources in situ at asteroid locations, which will completely reshape human civilization's perception of natural resources. Our goals include R&D on advanced closed-loop life support system that is capable of maximum water recycling in space-based life support systems while also processing carbon dioxide directly from Mars' atmosphere. Our focus encompasses autonomous robotics, artificial intelligence, and in-situ resource processing. Next Martian Inc is dedicated to developing swarms of self-replicating mining robots capable of establishing processing facilities across multiple asteroid belts, creating a distributed network of resource extraction and refinement operations. These systems would need to operate for centuries with minimal human oversight, gradually building the infrastructure necessary to support massive space-based manufacturing capabilities.

Swarm Robotics Control Systems will play a major role in this project, other aspects includes decentralized AI architecture using Boston Dynamics' SpotMini-derived mobility systems. Multi-agent reinforcement learning for collision-free operations in microgravity. In-situ regolith processing units based on ROXY lunar oxygen extraction technology.

We invite scientists, visionaries, and common people who are interested in mechatronics and quantum control theory, trajectory simulations, and quantum sensing of nanoscale materials. We plan to collaborate with D-Wave Qbsolv for large-scale optimization problems. We welcome Space Robotics Engineers and enthusiasts, people specializing in CI chondrite resource mapping, and people interested in SpaceX Starship payload integration.

Phase 1 milestones include: Implementing hybrid quantum-classical pathfinding algorithms using D-Wave's Qbsolv. Understanding Perceval's photonic circuits. Exploring quantum Monte Carlo methods for trajectory simulation. Prototyping 1:10 scale MinerAnt robot using SpaceX Dragon trunk dimensions. Establishing machine learning training datasets using NASA Solar System Exploration Research Virtual Institute (SSERVI) regolith databases.