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Predicting Robot System Performance by Measuring and Composing Subsystem Attributes
Published
Author(s)
Michael O. Shneier
Abstract
A robotic system typically consists of a number of subsystems, for example for sensing, manipulation, and motion. Performance measurements are frequently obtained independently for each of the subsystems but, because of conflicting interactions, it may be difficult to predict the performance of the whole system from these measures. It is often useful to separate the independent subsystem measures from those that interact and to trade off performance between interacting subsystems to achieve global performance goals. This paper discusses the representation and composition of performance measures that aim at achieving such a global understanding of a robot system's performance.
Shneier, M.
(2015),
Predicting Robot System Performance by Measuring and Composing Subsystem Attributes, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8091
(Accessed October 9, 2025)