DeepCore: AI-Powered Robotics in Extreme Environments

From the ocean floor to outer space

Join the Exploration

Mission

DeepCore is built to coordinate intelligent robotic units in locations where human presence is risky or impossible. Whether it’s mining rare materials at the bottom of the sea, responding to natural disasters, or laying the foundations for lunar outposts — DeepCore makes it possible.

About the Project

DeepCore is an AI-driven coordination system designed to manage autonomous robot teams in real-time. Originally developed for Martian missions, the technology is now being adapted to Earth’s harshest conditions: oceanic depths, active volcano zones, remote mountains, and disaster areas.

DeepCore in Action

DeepCore enables offline, autonomous operation of robot teams with full situational awareness. Designed to be deployed in hostile terrains, it ensures reliability, scalability, and real-time adaptation — even without internet access.

Implementation Steps:

  1. Install DeepCore Engine: Local instance of Robo Assistant, managing real-time missions.
  2. Define Context-Based Tasks: Tailored to mining, rescue, infrastructure, or research operations.
  3. Connect Robotic Units: Drones, rovers, submarines, and manipulators integrated via shared logic.
  4. Enable Self-Maintenance: Robots equipped with recovery, fallback, and self-diagnosis routines.
  5. Run Training Simulations: Replicate oceanic, polar, or extra-planetary conditions before deployment.

While Mars and the Moon remain future destinations, DeepCore is ready today — for Earth’s most extreme challenges.

Robo Assistant vs. Independent Rover Systems

Assumptions

  • Deployment for Earth-based use (disaster zones, remote terrain).
  • 4–5 semi-autonomous or coordinated robots.
  • 5-year operational timeframe.
  • Excludes launch/transport costs (for Earth use-case).
  • All robots equipped with basic mobility, sensors, and task modules.

Real-World Applications

  • 🌊 Deep-Sea Mining: Coordinated robot teams collecting minerals from the seabed.
  • 🌋 Disaster Recovery: Rapid deployment to areas affected by earthquakes, floods, or nuclear incidents.
  • 🏔️ Remote Research: Geological or climate research in the Arctic, Antarctic, or high mountains.
  • 🌌 Space-Ready Systems: Future-ready for operations on Mars, Moon, or asteroids.

Cost Comparison (5-Year Estimate)

Category With Robo Assistant Without Robo Assistant
Rover Hardware $4–6 million $20–25 million
AI/Software Development $8–12 million (centralized) $10–15 million (per unit)
Networking & Infrastructure $2–3 million $3–4 million
Maintenance & Operations (5 yrs) $10–15 million $15–20 million
Total (Estimated) $25–38 million $48–64 million

Non-Financial Advantages of Robo Assistant

  • Shared Intelligence: All rovers operate with global mission awareness and shared sensor data.
  • Dynamic Task Assignment: Missions are updated in real time with coordinated action.
  • Simplified Robots: Less onboard AI lowers complexity, failure risk, and power use.
  • Data Fusion: Central AI fuses inputs from all units for deeper situational awareness.
  • Swarm Behavior: Easily scales with additional robots and supports coordinated movement/building.
  • Easy Maintenance: Replaceable parts and remote updates via Robo Assistant.
  • Human Oversight: Central interface allows human monitoring, override, and logging.

Key Innovations

  • 🤖 Autonomous Construction: Self-coordinating robots building habitats and life-support systems.
  • 🔧 Resource Management: Mining and refining local materials to support long-term operations.
  • 🔬 Scientific Missions: Deep exploration of Mars' geology and potential for life.
  • 🧠 AI Collaboration: Swarms of robots making smart, adaptive decisions in real-time.
  • 🌍 Sustainability: Long-term autonomous missions that evolve and improve without constant human input.

DeepCore Operational Workflows

Learn how Robo Assistant powers DeepCore’s underground missions through adaptive, AI-coordinated workflows.

Explore the Core Capabilities of RedBase

Discover how **Robo Assistant** coordinates autonomous robots to perform essential tasks like terrain analysis, resource management, and real-time decision-making on Mars.

Join Us in Making History

We’re looking for forward-thinking collaborators to help us bring RedBase to life. If you’re a roboticist, AI researcher, space engineer, or passionate about space exploration, now is the time to contribute to this historic mission.

Help build the future — whether you're a roboticist, AI researcher, engineer, or space enthusiast. Join our global effort to push humanity beyond Earth.

RedBase Technical Resources

For those eager to understand how RedBase operates, we’ve provided key resources in JSON and BPMN 2.0 formats. These files allow you to dive deep into the autonomous systems and workflows that power the RedBase project, laying the foundation for Mars’ first autonomous robot teams.

Explore RedBase Resources

Why RedBase?

  • Autonomy: Our system enables robots to perform tasks autonomously, creating the potential for self-sustaining operations on Mars and the Moon.
  • Real-Time Decision Making: RedBase integrates AI to make adaptive decisions in real time, critical for mission success in unpredictable environments.
  • Collaboration: We are creating a system that connects autonomous machines, researchers, and collaborators, fostering a global effort to conquer space.

Mission Blog & Updates