The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project lies in enabling autonomous part measurement on a Coordinate Measuring Machine (CMM), transforming how precision components are inspected in manufacturing. By automating part identification, program selection, and measurement execution, this innovation reduces manual intervention, minimizes errors, and significantly increases inspection throughput on the shop floor. This advancement has the potential to lower manufacturing costs, improve quality control, and address skilled labor shortages in industries such as aerospace, medical devices, and automotive manufacturing. The project will also enhance scientific and technological understanding of autonomous metrology by integrating advanced computer vision, machine learning, and robotics with established CMM workflows. By closing the loop between part production and inspection in a fully automated pipeline, the technology will enable real-time quality control and adaptive manufacturing, accelerating the adoption of advanced manufacturing practices. This project supports the competitiveness of U.S. manufacturers, enabling small and medium-sized enterprises to adopt a capability that was not previously available in the market. Overall, this innovation will contribute to building resilient, high-quality manufacturing ecosystems while advancing the field of intelligent, autonomous measurement systems. This Small Business Innovation Res