Quantitative Performance Evaluation of Robotic and Intelligent Systems Editorial

摘要

Reproducible and widely accepted and understood challenges can help evolving fields by providing reference problems with measures of performance that allow researchers to compare implementations, communicate results, and leverage each other's work. It is important to develop test artifacts and measurement methodologies to capture performance data in order to focus research efforts, provide direction, and accelerate the advancement of mobile robot capabilities.