Reframing Common Problems: Difference between revisions

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*[[Universal Axis]] - 3D cartesian motion, when scalable, is relevant to many machines across industry, research, manufacturing automation, and others. Each application requires and uses different techniques, and thousands of variations. Here we propose a robust solution where low cost and high performance are needed, to meet 80% of worldwide cartesian robot motion. This is a market of nearly a trillion dollars.
*[[Universal Axis]] - 3D cartesian motion, when scalable, is relevant to many machines across industry, research, manufacturing automation, and others. Each application requires and uses different techniques, and thousands of variations. Here we propose a robust solution where low cost and high performance are needed, to meet 80% of worldwide cartesian robot motion. This is a market of nearly a trillion dollars, with precision parts being alone being $225B by 2022 [https://www.arizton.com/market-reports/precision-parts-market-report].

Revision as of 17:23, 10 March 2019

  • Universal Axis - 3D cartesian motion, when scalable, is relevant to many machines across industry, research, manufacturing automation, and others. Each application requires and uses different techniques, and thousands of variations. Here we propose a robust solution where low cost and high performance are needed, to meet 80% of worldwide cartesian robot motion. This is a market of nearly a trillion dollars, with precision parts being alone being $225B by 2022 [1].