Analog research of human or combined human and robotic missions is an established tool to explore the workflows, instruments, risks, and challenges of future planetary surface missions in a representative terrestrial environment. Analog missions that emulate selected aspects of such expeditions have risen in number, expanded their range of disciplines covered, and seen a significant increase in their operational and programmatic impact on mission planning. We propose a method to compare analog missions across agencies, disciplines, and complexities/fidelities to improve scientific output and mission safety and maximize effectiveness and efficiency. This algorithm measures mission performance, provides a tool for an objective postmission evaluation, and catalyzes programmatic progress. It does not evaluate individual sites or instruments but focuses at mission level. By applying the algorithm to several missions, we compare the missions' performance for benchmarking purposes. Methodically, a combination of objective data sets and questionnaires is used to evaluate three areas: two sections of closed and quantitative questions and a third section dedicated to the level or representativeness of the test site. By using a weighted metric, the complexity and fidelity of a mission are compared with reference missions, which yield strengths and weaknesses in mission planning.

中文翻译：

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AMADEE-18 和模拟任务性能指标分析：任务规划和评估的基准工具

人类或人类和机器人联合任务的模拟研究是探索具有代表性的地球环境中未来行星表面任务的工作流程、仪器、风险和挑战的既定工具。模拟此类探险选定方面的模拟任务数量增加，涵盖的学科范围扩大，并且对任务规划的操作和程序影响显着增加。我们提出了一种方法来比较不同机构、学科和复杂性/保真度的模拟任务，以提高科学输出和任务安全性，并最大限度地提高有效性和效率。该算法测量任务性能，为客观的任务后评估提供工具，并促进计划进展。它不评估单个站点或仪器，而是侧重于任务级别。通过将该算法应用于多个任务，我们比较了任务的性能以进行基准测试。有条不紊地使用客观数据集和问卷的组合来评估三个方面：两部分封闭式定量问题，第三部分专门用于测试地点的水平或代表性。通过使用加权指标，将任务的复杂性和保真度与参考任务进行比较，从而得出任务规划中的优势和劣势。两部分封闭式和定量问题，第三部分专门用于测试站点的水平或代表性。通过使用加权指标，将任务的复杂性和保真度与参考任务进行比较，从而得出任务规划中的优势和劣势。两部分封闭式和定量问题，第三部分专门用于测试站点的水平或代表性。通过使用加权指标，将任务的复杂性和保真度与参考任务进行比较，从而得出任务规划中的优势和劣势。