DYNAMIC PERCEPTION WORKSHOP REPORT: Requirements and Standards for Advanced Manufacturing

Published

January 14, 2010

Author(s)

Tsai Hong Hong, Elena R. Messina, Hui-Min Huang, Michael O. Shneier, Roger D. Eastman, Jane Shi, James Wells

Abstract

The Dynamic Perception workshop was intended to further the development of standardized, reproducible, and portable test methods that can advance the technology of sensors and perception systems for new, flexible robotic and automation applications in manufacturing. The purpose of the test methods is to provide demonstrations and metrics for sensor performance that manufacturing firms can use to evaluate sensor-based products for deployment on the factory floor. The workshop addressed four questions about advancing the use of perception systems in manufacturing robotics and automation: 1) Are there sets of manufacturing scenarios or tasks that can be identified as candidates for employing sensing to advance robotic capabilities? 2) Which of these scenarios or tasks are the low hanging fruit that can have a near-term impact? 3) What expanded capabilities and performance are needed to advance perception systems in manufacturing robotics? 4) What are essential metrics for evaluating perception systems in these scenarios? This report documented the discussions that carefully addressed questions 1, 2 and 4, with question 3 on expanded capabilities implicitly covered by requirements developed in answers to the other questions.

Citation

NIST Interagency/Internal Report (NISTIR) - 7664

Report Number

7664

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

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Keywords

requirement, sensor, perception, scenarios, manufacturing, robotics, metrics

Citation

, T. , Messina, E. , Huang, H. , Shneier, M. , Eastman, R. , Shi, J. and Wells, J. (2010), DYNAMIC PERCEPTION WORKSHOP REPORT: Requirements and Standards for Advanced Manufacturing, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=904612 (Accessed April 30, 2025)