Simulating Drones in Gazebo: Testing Algorithms in Virtual Environments Before Real-World Flight
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0.48 kg
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Amazon
- The Stack: Set up a robust simulation environment using Gazebo, ROS 2 (Robot Operating System), and MAVLink for seamless communication.
- Physics & Sensors: Learn to model realistic physics (wind, gravity, battery sag) and simulate sensors like LiDAR, Depth Cameras, and IMUs to trick your code into thinking it's flying.
- Autonomous Navigation: Implement and test SLAM (Simultaneous Localization and Mapping) and pathfinding algorithms in complex virtual cities before deploying them to the field.
- SITL vs. HITL: Understand the difference between Software-In-The-Loop and Hardware-In-The-Loop to validate your actual flight controller hardware.
- Computer Vision: Feed virtual camera streams into OpenCV or neural networks to train vision-based landing systems safely.
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