10 docs tagged with "ros2"

Integrative project combining ROS2 architecture, node communication patterns, Python rclpy code, and URDF robot modeling to design a complete autonomous delivery robot system.

What Is a Camera in Robotics?

What Is Depth Sensing in Robotics?

Learn how inertial measurement units and proprioceptive sensors enable humanoid robots to sense their own motion, orientation, and body position for dynamic balance control and spatial self-awareness.

Learn how sensor fusion combines camera, depth, and IMU data to create robust perception systems that overcome individual sensor limitations through complementary filtering, Kalman filtering, and Visual-Inertial Odometry.

Assessment quiz covering ROS2 fundamentals, node communication, Python rclpy, and URDF robot modeling. 15 questions testing comprehension across all four lessons. Passing score: 12/18 points (67%).

Learn how ROS2 nodes communicate through topics (pub/sub) and services (request/response), and understand when to use each communication pattern for coordinating robot behaviors.

Learn how to connect Python programming to ROS2 using the rclpy library, creating nodes, publishers, and subscribers to bring robot communication patterns to life in actual code.

Learn what ROS2 is, why it's essential for humanoid robotics, and how it enables modular, distributed robot systems through nodes, topics, and publish-subscribe communication.

Learn how robots are described structurally using URDF (Unified Robot Description Format) to define humanoid robot bodies, joints, and links for simulation, visualization, and motion planning.