Robotics Engineering Knowledge Hub
Learn robotics engineering, ROS2, embedded systems, AI robotics, automation, computer vision, industrial robotics, autonomous systems, and modern robotics technologies.
Explore practical robotics tutorials, engineering concepts, robotics mathematics, embedded systems, ROS2 development, AI robotics, and real robotics technologies.
Complete guide to the CiA 402 CANopen drive profile used by EtherCAT servo drives. Covers the state machine, controlword, statusword, operation modes (CSP, CSV, CST, PP, PV), and implementation with SOEM.
Technical deep dive into EtherCAT Distributed Clocks (DC). Learn how slaves synchronize to sub-microsecond accuracy, how the reference clock works, how to enable DC in SOEM, and why it matters for multi-axis motion control.
Step-by-step guide to setting up an EtherCAT master on Linux using SOEM. Covers PREEMPT-RT kernel, network interface configuration, slave discovery, and running your first cyclic loop.
Deep dive into EtherCAT PDO mapping — understand RxPDO, TxPDO, object dictionary, PDO assignment, and how to configure process data exchange between master and slaves using SOEM and ESI files.
Practical guide to programming an EtherCAT servo drive in C using SOEM. Covers drive initialization, CiA 402 state machine, cyclic synchronous position mode, trajectory generation, and safe shutdown.
Build a production-grade motion control system in C++ using EtherCAT and SOEM. Covers real-time thread architecture, trapezoidal and S-curve trajectory planning, position/velocity/torque modes, and safe error handling.
Complete SOEM tutorial for beginners. Learn to build SOEM from source, write your first master application in C, discover EtherCAT slaves, and run a real-time cyclic process data loop.
Learn ROS2 from basics to advanced robotics applications including installation, nodes, topics, publishers, subscribers, DDS, simulations, autonomous robots, SLAM, navigation, and real-world robotics development.
Learn Computer Vision from basics to advanced robotics applications including OpenCV, AI vision systems, object detection, SLAM, robotics perception, autonomous navigation, and real-world robotics projects.
Learn PID Control from basics to advanced robotics applications including proportional, integral, derivative control, robotics stability, autonomous robots, motion control, and industrial automation systems.
Complete engineering breakdown of a two-wheel self-balancing robot with computer vision, PID control, encoder motors, IMU sensor fusion, and robotic kicking mechanism.
Learn robotics fundamentals, robot components, applications, AI robotics, industrial automation, and modern robotics engineering technologies.
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