← Back to NASA Technology Projects

ATHENA (Autonomous Technology for Habitat Environmental Navigation and Assistance) (ATHENA)

Completed

Description

The Autonomous Technology for Habitat Environmental Navigation and Assistance (ATHENA) is an AI-driven robotic system designed for autonomous spacecraft maintenance, anomaly detection, and logistics management. As NASA extends human spaceflight beyond low Earth orbit, ATHENA will enhance operational efficiency by autonomously performing critical tasks, reducing astronaut workload, and ensuring long-term habitat functionality. ATHENA’s core capabilities include: AI-powered perception and manipulation, using deep-learning models for object recognition, pose estimation, and adaptive grasp planning. Autonomous anomaly detection, identifying structural issues, leaks, and environmental hazards in real time. Simultaneous Localization and Mapping (SLAM) based navigation, enabling precise movement and interaction within spacecraft interiors. In Phase I, ATHENA will be validated within the Astrobee Gazebo Simulator to ensure seamless integration with existing NASA robotic systems. Funding will support the development of AI-based perception, grasp planning, and navigation capabilities, laying the foundation for hardware-in-the-loop testing in Phase II. Beyond NASA, ATHENA’s autonomous capabilities have commercial applications in space station operations, deep-space logistics, and terrestrial industries requiring intelligent robotic automation in complex environments.

Benefits

ATHENA directly supports NASA’s mission directives by advancing robotic autonomy for spacecraft maintenance, logistics, and anomaly detection. As future missions extend beyond low Earth orbit (LEO) to lunar habitats, Mars, and deep-space outposts, ATHENA will provide critical autonomous support to sustain long-duration human presence. ATHENA’s AI-powered perception and manipulation will enhance spacecraft inspection, predictive maintenance, and anomaly detection, ensuring early identification of structural issues, leaks, and equipment malfunctions. By integrating Simultaneous Localization and Mapping (SLAM)-based navigation, ATHENA can efficiently navigate confined spacecraft interiors, interacting with tools, payloads, and storage systems without direct astronaut intervention. ATHENA aligns with NASA’s Z-ENABLE-05 objectives, enabling robotic systems to assess environments, detect changes, and perform maintenance tasks autonomously. Its phased integration with Astrobee, followed by standalone deployment, ensures a scalable path for adoption across Artemis, Lunar Gateway, and future Mars missions. By reducing astronaut workload and improving operational efficiency in deep-space habitats, ATHENA enhances mission sustainability, minimizes risk, and supports NASA’s goal of long-duration, self-sufficient space exploration. ATHENA’s AI-driven robotic autonomy has broad commercialization potential in industries requiring intelligent automation in complex, unstructured environments. In commercial space stations and lunar habitats, ATHENA can provide autonomous inspection, logistics, and maintenance, reducing reliance on human operators. Private space companies developing orbital infrastructure, space tourism, and deep-space logistics can leverage ATHENA to enhance operational efficiency and safety. Beyond space, ATHENA’s AI-powered perception, adaptive manipulation, and anomaly detection can be applied to industrial automation, hazardous environment monitoring, and infrastructure maintenance. In nuclear power plants, offshore energy platforms, and remote research stations, ATHENA can autonomously detect structural failures, handle delicate equipment, and assist human operators in high-risk environments. The system’s ability to integrate with existing robotic platforms makes it adaptable for warehouse logistics, disaster response, and defense applications, where AI-driven automation is critical for efficiency and safety. By commercializing ATHENA’s AI-driven capabilities, industries can reduce costs, improve reliability, and enhance autonomous decision-making in environments where human presence is limited or hazardous.

Details

Technology areaRobotic Systems
ProgramSmall Business Innovation Research/Small Business Tech Transfer (SBIR/STTR)
Lead organizationAmes Research Center, Moffett Field, CA
Start date2025-09-29
End date2026-03-27

Project contacts

Listed on TechPort itself — the most direct way to ask about this specific project.

How to get involved

This is a mature technology (TRL 7+) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.