Welcome to the Laboratory for Learning Evaluation of autoNomous Systems (LENS Lab). We are interested in operationalizing machine learning (ML) models in autonomous systems and robots. Our objective is to develop a range of algorithmic tools for evaluating ML models utilized in such systems. We firmly believe that assessing models solely based on accuracy on a held-out dataset is insufficient for successful operationalization. Therefore, we delve deeper into critical questions: How can we explain black-box neural networks? How can we evaluate uncertainty of decisions? When and how do models fail? Are models fair and unbiased? Will a model perform effectively in new or changing environments? We examine these questions before, during, and after deployment. These efforts not only aid engineers in debugging models but also assist legislative bodies in establishing legal and ethical guidelines.