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Learn to use ROS and OpenCV for ball detection and tracking, enabling a robot to follow a tennis ball in both simulated and real-world environments.
Learn to implement robot navigation using Nav2 and ROS, covering setup, simulation in Gazebo, real-world application, AMCL integration, and practical tips for efficient implementation.
Learn to implement SLAM for mobile robots using ROS and slam_toolbox. Covers setup, mapping, localization, and practical application on real robots. Ideal for beginners in robotics and autonomous navigation.
Learn advanced ROS robot control techniques, including web servers, Foxglove Studio, RViz Teleop, and stamped twists. Explore simulation improvements and alternative teleop tools for enhanced mobile robotics.
Learn to control homemade robots wirelessly using game controllers. Explore Linux and ROS integration, joystick-to-command conversion, and real-time feedback visualization in RViz.
Practical guide to implementing ros2_control for real robot control, covering hardware interfaces, configuration, launch files, testing, and troubleshooting odometry and simulation issues.
Overview of ros2_control implementation in Gazebo simulation, covering hardware interfaces, controllers, and practical setup for robotic systems.
Learn to integrate depth cameras with ROS for 3D vision in robotics. Covers simulation in Gazebo, real camera setup (OAK-D Lite), and point cloud visualization for enhanced robot perception.
Comprehensive guide on integrating cameras in ROS, covering theory, simulation, image viewing, compression, and real camera connections for robotics applications.
Learn to integrate LIDAR into ROS robots, covering URDF modifications, Gazebo simulation, and real hardware integration. Gain practical insights for enhancing robot perception capabilities.
Comprehensive guide on integrating motors in robotics, covering hardware connections, control methods, and ROS implementation using Raspberry Pi. Includes practical demonstrations and code examples.
Learn to simulate and control a virtual robot in Gazebo, covering spawning, launch files, control plugins, teleop, friction adjustment, RViz visualization, and obstacle course creation.
Learn to create a rough 3D model of a differential drive robot using URDF. Covers base link, chassis, wheels, collision geometry, and inertia for simulation preparation.
Learn to simulate robots using Gazebo and ROS, covering installation, robot spawning, joint control, virtual world creation, and sensor integration. Gain practical skills for advanced robotics development.
Learn to describe robots using URDF (Unified Robot Description Format) in ROS. Covers links, joints, syntax, xacro for simplification, and a practical example.
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