SBIR/STTR Research Award

BUILDER: Leveraging BIM information to automate robot task planning for lunar assembly applications

Award identifier 8c6b3639fd57fbe8e389ad61f43991173238fa44253a31835cefab5f4e659c97Awarding agency National Aeronautics and Space Administration

Award amount

$149,949

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Traclabs Inc.
Proposal award date
2025-09-02
Contract end date
2026-03-27
UEI
CEL6Q7QSVHA7
Solicitation number
SBIR 2025-I
Topic code
Z-LIVE

Research abstract

In order to support permanent human presence on the Moon, a number of critical infrastructures must be built on the lunar surface. Robots are expected to play a crucial role in the construction process, performing autonomous assembly and outfitting of a variety of systems, such as tall towers for solar power generation, shelters for crew and asset protection, and lander plume containment shields for launch & landing pads. As it has been noted in state-of-the-art work, the knowledge of building data is critical for the application of robotic solutions in terrestrial construction and operation. Specifically, these works leverage the information contained in Building Information Modeling (BIM) files that describe a target infrastructure, to extract and provide the robotic agent with the geometric, semantic and scheduling data that can then be used to assist in the generation of assembly plans to be carried out by the robot. In this proposal, TRACLabs proposes BUILDER (Leveraging BIM information to automate robot task planning for lunar assembly applications), a set of software tools that facilitate the integration of BIM data - describing an assembly infrastructure - with ROS, the standard software framework to build robot applications. The BUILDER tools are expected to provide 3 types of utilities: (1) Translate geometric data (3D models and poses) from the BIM files into objects natively usable by ROS-based tools, such as motion planning libraries; (2) Translate scheduling and semantic BIM data - describing the assembly and its construction - into a format suitable to be used for generic task planning tools; (3) Build upon our existing task planning tools, we'll integrate the geometric, scheduling and semantic data now accessible to ROS-based tools, into our framework, enabling it to autonomously generate task plans that are specific to a robotic platform, with the robot plans being encoded using a hierarchical approach based on Behavior Trees.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

113 SBIR/STTR records share this UEI (2007–2025). Reported award amounts total $37,159,143. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Defense, National Science Foundation

Agency intelligence

National Aeronautics and Space Administration

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