Agile Autonomous Technical Data Package to Path Robotic Task Specification

Funder
U.S. Department of Defense – Air Force (SBIR)
Award amount
Not specified
Deadline
November 25, 2026
Eligible countries
United States

Summary

SBIR topic DAF27BZ01-DV012 (U.S. Department of Defense – Air Force), Phase I and II. Open to U.S. small businesses. Opens: October 28, 2026. Closes: November 25, 2026. Here is a draft for a Direct to Phase II SBIR solicitation topic based on the technical capabilities of the data extraction and automated path-planning pipeline. The content has been carefully structured to be precise and concise while protecting all proprietary text.Direct to Phase II Topic DraftTopic ObjectiveObjective: Develop and demonstrate an automated, end-to-end software platform capable of ingesting heterogeneous Technical Data Packages (TDPs)—including 3D CAD models, 2D engineering drawings, Bills of Materials (BOMs), and textual specifications—to autonomously extract engineering intent and generate optimized, collision-free robotic inspection trajectories without manual waypoint programming or hard-coded scripting.The resulting system must bridge the gap between enterprise digital design data and physical automation by converting complex tolerances, geometric constraints, and manufacturing annotations into a standardized data model, simulating the execution in a physics-accurate virtual sandbox, and deploying executable inspection commands directly to physical mobile robotic manipulators. The objective is to drastically compress quality control programming timelines from days to under two hours and enable rapid robotic reconfiguration in highly agile manufacturing environments.Topic DescriptionBackground & Problem Statement: Modern aerospace manufacturing and sustainment pipelines face severe bottlenecks due to legacy quality control (QC) practices. As defense systems shift toward highly modular, rapidly evolving, and low-cost attritable architectures, traditional fixed automation becomes commercially and operationally impractical. Traditional robotic inspection lines require highly specialized programmers to manually teach waypoints, configure physical sensor triggers, and execute…

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