Add DOI RAM paper

_bibliography/refs.bib

@@ -75,6 +75,7 @@ @ARTICLE{Silano2023SurveySimulator
  author       = {{Dimmig}, C. A. and {Silano}, G. and {McGuire}, K. and {Gabellieri}, C. and {Honig}, W. and {Moore}, J. and Kobilarov, M.},
  group        = {journals},
  preprint     = {publications/survey_simulators.pdf},
+ doi          = {10.1109/MRA.2024.3433171},
  journal      = {IEEE Robotics and Automation Magazine},
  abstract     = {Uncrewed Aerial Vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vital solution by replicating real-world conditions to enable the development and evaluation of novel perception and control algorithms. However, the large number of available simulators poses a significant challenge for researchers to determine which simulator best suits their specific use-case, based on each simulator's limitations and customization readiness. This paper analyzes existing UAV simulators and decision factors for their selection, aiming to enhance the efficiency and safety of research endeavors.}
 }