SIERRA：研究自動化のためのモジュール式フレームワーク
SIERRA: A Modular Framework for Research Automation
実験の変数指定から入力生成・実行・結果処理までを自動化し、環境に依存せず再現可能な研究ワークフローを実現するモジュール式フレームワークSIERRAを提案した論文。
著者: John Harwell, London Lowmanstone, Maria Gini
分類: cs.RO, cs.AI
原文アブストラクト
Modern intelligent systems researchers employ the scientific method: they form hypotheses about system behavior, and then run experiments using one or more independent variables to test their hypotheses. We present SIERRA, a novel framework structured around that idea for accelerating research developments and improving reproducibility of results. SIERRA makes it easy to quickly specify the independent variable(s) for an experiment, generate experimental inputs, automatically run the experiment, and process the results to generate deliverables such as graphs and videos. SIERRA provides reproducible automation independent of the execution environment (HPC hardware, real robots, etc.) and targeted platform (arbitrary simulator or real robots), enabling exact experiment replication (up to the limit of the execution environment and platform). It employs a deeply modular approach that allows easy customization and extension of automation for the needs of individual researchers, thereby eliminating manual experiment configuration and result processing via throw-away scripts.
