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Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.
We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software
ORNL's fully on-chip CMOS-fabricated integrated photonic circuit can generate polarization or frequency entangled photons for use in quantum communications and networking.
This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.
Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.
Photonic hyperentanglement involves pairs of photons entangled in multiple degrees of freedom (DoF), which hold promise for quantum communication protocols. However, the frequency DoF has received less attention due to constraints in evaluating such hyperentangled states.
In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.
This invention discusses the methodology to calibrating a multi-robot system with an arbitrary number of agents to obtain single coordinate frame with high accuracy.