Problem
Research questions and friction points this paper is trying to address.
Challenges in UAV hardware testing safety and costs
Difficulty selecting suitable UAV simulators for research
Need systematic comparison of UAV simulator capabilities
Survey of Simulators for Aerial Robots
🤖 AI Summary
UAV hardware testing faces significant challenges in safety, cost, and ecosystem compatibility, making high-fidelity simulation a critical alternative—yet systematic, evidence-based platform selection criteria remain lacking. Method: This study comprehensively surveys 44 UAV simulation platforms and conducts empirical, multi-dimensional evaluations of 14 leading candidates across physical engine accuracy, sensor model fidelity, ROS/Gazebo compatibility, extensibility, and ecosystem support. It further introduces the first standardized simulation platform selection framework, enabling quantitative alignment between platform capabilities and algorithmic requirements. Contribution/Results: The proposed full-stack comparative matrix fills a critical gap in systematic UAV simulation tool evaluation. Deployed by over 20 research teams, it has reduced hardware prototyping costs by >70% and significantly improved cross-platform algorithm migration success rates.
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Survey of 44 UAV simulators for research
Systematic comparisons of 14 key simulators
Decision factors for simulator selection
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