@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 #15005 · Jul 28
#other#ai_agents#genai You can explore a large collection of AI agent projects and use cases across many industries like healthcare, finance, education, customer service, and more. These AI agents automate tasks such as medical diagnosis, stock trading, personalized tutoring, customer support, product recommendations, and supply chain optimization. The projects include open-source code and frameworks like CrewAI, Autogen, Agno, and Langgraph, which help build, manage, and collaborate AI agents for tasks like coding, multi-agent teamwork, data analysis, and workflow automation. Using these resources can save you time, improve efficiency, and inspire you to create AI solutions tailored to your needs. https://github.com/ashishpatel26/500-AI-Agents-Projects
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@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