An end-to-end vision-based framework enables UAVs to traverse complex irregular gaps in unseen environments by mapping depth images to SE(3) control commands using differentiable simulation.
Aerial gym simulator: A framework for highly parallelized simulation of aerial robots
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aerial-autonomy-stack is a ROS2-based open-source framework that supports faster-than-real-time simulation of complete perception-to-action drone autonomy pipelines while remaining agnostic to PX4 and ArduPilot autopilots.
citing papers explorer
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Vision-Based End-to-End Learning for UAV Traversal of Irregular Gaps via Differentiable Simulation
An end-to-end vision-based framework enables UAVs to traverse complex irregular gaps in unseen environments by mapping depth images to SE(3) control commands using differentiable simulation.
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aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones
aerial-autonomy-stack is a ROS2-based open-source framework that supports faster-than-real-time simulation of complete perception-to-action drone autonomy pipelines while remaining agnostic to PX4 and ArduPilot autopilots.