@TestFlightX · Post #34682 · 11/21/2024, 02:47 PM
#D#ROS https://testflight.apple.com/join/cFKaKfro
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Source channel @githubtrending · Post #14638 · Apr 27
#swift#i3#i3wm#mac#macos#tiling#tiling_window_manager#window_manager AeroSpace is a tiling window manager for macOS that helps organize windows in a grid, making all windows visible at once. It offers fast workspace switching without animations, which can be faster than macOS's native Spaces. AeroSpace uses its own workspaces instead of macOS Spaces, allowing for more efficient management. It supports multiple monitors and doesn't require disabling System Integrity Protection. Users can configure it using plain text files, making it friendly for advanced users and developers. This setup helps users work more efficiently by keeping everything organized and easily accessible. https://github.com/nikitabobko/AeroSpace
Search: #ros
@TestFlightX · Post #34682 · 11/21/2024, 02:47 PM
#D#ROS https://testflight.apple.com/join/cFKaKfro
@githubtrending · Post #15616 · 04/15/2026, 12:00 PM
#cplusplus#hap#mid_360#ros#ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2
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@githubtrending · Post #14795 · 06/05/2025, 02:30 PM
#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects. https://github.com/ArduPilot/ardupilot