Add missing info RAM paper

Author: gsilano

_bibliography/refs.bib

@@ -90,6 +90,9 @@ @ARTICLE{Silano2023SurveySimulator
  preprint     = {publications/survey_simulators.pdf},
  doi          = {10.1109/MRA.2024.3433171},
  journal      = {IEEE Robotics and Automation Magazine},
+ year         = {2024},
+ status       = {In Press},
+ link         = {https://ieeexplore.ieee.org/document/10665978},
  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. In this paper we present an overview of 44 UAV simulators, including in-depth, systematic comparisons for 14 of the simulators. Additionally, we present a set of decision factors for selection of simulators, aiming to enhance the efficiency and safety of research endeavors.}
  }