Autonomous Vision-Guided Robotic Automation and Digital Twin Framework Services

The government authority located in New York is seeking a vendor to provide autonomous vision-guided robotic automation and digital twin framework services. The agency needs to deploy stereo camera systems in both laboratory and beamline environments to enhance its operational capabilities. To solve perception challenges in these environments, the agency requires the implementation of deep-learning-based object detection, classification, and pose estimation for sample holders, detectors, robotic tools, and environmental fixtures. The scope of work also covers the development of a digital twin framework that incorporates robotic kinematics, workspace geometry, and beamline-relevant experimental components. Additionally, the agency requires a robotic simulation and predictive evaluation framework that mirrors the actual laboratory and beamline setups. This simulation must integrate robot kinematic models, environment geometry, and perception-derived object poses to allow for predictive evaluation. Eligibility is strictly limited to onshore organizations based in the United States. The agency is currently looking for proposals to determine the budget, and the performance of all contracted work will take place offsite. No specific key dates or deadlines are provided in the initial solicitation details.