Enable manufacturers to assess and assure robot system assembly task performance by delivering a methodology and tools for characterizing and composing performance of perception, mobility, dexterity, and safety components.
Most assembly tasks are not readily automatable today due to robots' limited perception, mobility, and dexterity. Furthermore, there are no means of creating assembly-centric performance models for use in work cell engineering in order to ensure successful implementations. Characterizing and accurately predicting robot system performance is technically hard due to the complex unmodeled interactions amongst the perception, mobility, dexterity, and safety components of a robot system and the broad range of assembly operations. Currently, the small subset of assembly tasks that have been automated are custom implementations requiring significant fixturing and tooling, resulting in high investment and limited process flexibility. The new technical idea is to compose assembly task-driven measures of component performance (perception, mobility, dexterity, and safety) into robot system autonomous assembly performance models. NIST will deliver a suite of test methods for perception, mobility, dexterity, and safety components of robots derived from an assembly operation taxonomy and requirements, along with a methodology and tools for composing the resulting measurements into robot system performance models. The assembly-relevant performance measures will provide manufacturers with the currently-missing data and tools for assessing and assuring implementations of robot systems within their smart manufacturing applications, thereby reducing the risk of adopting this key disruptive technology. Small and medium enterprises, as well as large manufacturers, will be able to use robot systems that enable them to increase the variety of products and shorten their product cycles to meet customer demands. NIST will blend its proven process for creating application-driven performance requirements and measurements with its expertise in measurement science for manufacturing robotics and autonomy metrics to address the challenges of robot systems for autonomous assembly tasks.
The project will produce a robot systems capability model detailing a taxonomy of assembly tasks, decomposed into sub-tasks to define performance metrics and measurement methods for the perception, mobility, dexterity, and safety components of the robot system. This capability model will guide and focus the development of robot systems for use in assembly-centric manufacturing. Test method suites of increasing complexity will be developed in the subsequent years:
At the end of the project lifetime, the results will be consolidated into a general methodology and tool set for composing perception, mobility, dexterity, and safety performance into robot system autonomous assembly performance models. This will enable manufacturers to assess and assure robot system task performance in smart manufacturing assembly-centric applications.
Some recent accomplishments in the area of Performance Assessment Framework of Robotic Systems include:
Start Date:October 1, 2013
Lead Organizational Unit:el
Related Programs and Projects:
Elena Messina, Project Leader
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