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ATHENA (Autonomous Technology for Habitat Environmental Navigation and Assistance)

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NASA-SBIR-185445SBIR / STTR

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The Autonomous Technology for Habitat Environmental Navigation and Assistance (ATHENA) project, under solicitation NASA-SBIR-185445, is an AI-driven robotic system designed to automate spacecraft maintenance, anomaly detection, and logistics management. By utilizing deep-learning models for perception, adaptive grasp planning, and SLAM-based navigation, ATHENA aims to reduce astronaut workload and ensure the functionality of habitats during long-duration missions to the Moon, Mars, and deep-space outposts. The project is structured in phases, beginning with validation in the Astrobee Gazebo Simulator to establish AI capabilities before moving toward hardware-in-the-loop testing. Managed by the NASA SBIR/STTR Program and designated as a Total Small Business Set-Aside, the initiative aligns with NASA's Z-ENABLE-05 objectives to enhance mission sustainability and safety. Beyond its primary application in space exploration and the Artemis program, ATHENA has significant commercial potential for terrestrial industries. Its capabilities in autonomous inspection and hazardous environment monitoring are applicable to nuclear power plants, offshore energy platforms, warehouse logistics, and disaster response, providing a scalable solution for intelligent automation in complex, unstructured environments.

General Info

NASA ATHENA project uses AI robotics for spacecraft maintenance and terrestrial industrial automation.

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Organization & Contact Information

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AgencyNational Aeronautics and Space Administration → NASA SBIR/STTR Program
Contacts4 people available
OfficeUSA
Office AddressUSA
Contacts
Jose V BenavidesProject Manager
Bernard MendezPrincipal Investigator
Jason L KesslerProgram Director
Carlos TorrezProgram Manager

Full Description

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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.

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