Towards Using Multiple Iterated, Reproduced, and Replicated Experiments with Robots (MIRRER) for Evaluation and Benchmarking
Abstract
The robotics research field lacks formalized definitions and frameworks for evaluating advanced capabilities including generalizability (the ability for robots to perform tasks under varied contexts) and reproducibility (the performance of a reproduced robot capability in different labs under the same experimental conditions). This paper presents an initial conceptual framework, MIRRER, that unites the concepts of performance evaluation, benchmarking, and reproduced/replicated experimentation in order to facilitate comparable robotics research. Several open issues with the application of the framework are also presented.
Keywords
Cite
@article{arxiv.2408.04736,
title = {Towards Using Multiple Iterated, Reproduced, and Replicated Experiments with Robots (MIRRER) for Evaluation and Benchmarking},
author = {Adam Norton and Brian Flynn},
journal= {arXiv preprint arXiv:2408.04736},
year = {2024}
}
Comments
IEEE International Conference on Robotics and Automation (ICRA) 2024 Workshop on Ontologies and Standards for Robotics and Automation (WOSRA), Yokohama, Japan, May 2024