Machine learning based reconfigurable mobile agents using swarm system manufacturing
AssigneeFlorida A&M University
InventorsTarik J. Dickens, Jolie Breaux Frketic, Sean Psulkowski
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AssigneeFlorida A&M University
InventorsTarik J. Dickens, Jolie Breaux Frketic, Sean Psulkowski
Estimating the term…
Embodiments of the present invention include a collaborative manufacturing system utilizing a plurality of mobile agents. The mobile agents operate dual robotic arms to improve single and multi-material builds' efficiency. In some embodiments, the dual robotic arms work together in the same area to create multi-functional components. In addition, the mobile agents can change tool heads on the arms to allow for hybrid manufacturing such as pick and place, additive, and subtractive manufacturing. One or more mobile agents interact with other mobile agents, thereby increasing the end product's efficiency and quality. Mobile agents utilize swarm manufacturing techniques to improve the manufactured product's time efficiency further and use machine learning to adjust and re-assign mobile agents constantly.
A system for reducing a manufacturing time of an end product within a predefined manufacturing area, the system comprising:
Dependencies are inferred from the claim text.