Robo2u
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Control, Navigation & Planning

Turning sensing into motion: real-time control, kinematics and motion planning, SLAM, state estimation, and calibration.

  1. 01

    Real-Time Robot Control Systems: The Ultimate Guide

    Design deterministic robot control loops: hard vs soft real-time, jitter and worst-case latency, RTOS vs PREEMPT_RT Linux, the MCU/SBC split, and EtherCAT.

  2. 02

    Robot Kinematics & Motion Planning: The Ultimate Guide

    Robot kinematics and motion planning: forward/inverse kinematics, the Jacobian, singularities, RRT/RRT*, trajectory optimization, and the MoveIt 2 stack.

  3. 03

    SLAM & Robot Localization: The Ultimate Guide

    How robots estimate pose and map at once: EKF, particle filters, factor-graph SLAM, lidar and visual-inertial stacks, loop closure, and how to choose.

  4. 04

    Sensor Fusion & Kalman Filtering: The Ultimate Guide

    How robots fuse noisy sensors into one estimate: the Bayes filter, Kalman/EKF/UKF math, particle filters, complementary filters, and factor-graph smoothing.

  5. 05

    Robot Calibration & Hand-Eye Calibration: The Ultimate Guide

    Close the robot accuracy-vs-repeatability gap: kinematic identification, TCP and AX=XB hand-eye calibration, thermal drift, and ISO 9283 validation.