RobotForge

Track 09

Mobile & Legged Robotics

From differential drive to humanoid locomotion. Getting a body through the world on wheels, legs, or wings.

10 published · 0 planned · 10 lessons total

  1. 01

    Differential drive: the robot you build first

    Published

    Two wheels, two motor commands, endless variations. The kinematics, the command conversion, the slip problem, and the 50 lines of code that control any diff-drive robot.

    ~13 min

  2. 02

    Ackermann steering for car-like robots

    Published

    Cars don't pivot. They turn around an instantaneous center, with both front wheels at different angles. The kinematic constraints, the bicycle-model approximation, and what changes for planners and controllers.

    ~13 min

  3. 03

    Omnidirectional drive and mecanum wheels

    Published

    Three-wheel and four-wheel omni kinematics. When you need holonomic motion, when you don't, and the mechanical price you pay for sliding sideways.

    ~11 min

  4. 04

    Quadruped locomotion: gaits and phase diagrams

    Published

    Trot, bound, pace, gallop — four families of quadruped gait, each a different phase pattern. The phase diagram you'll see in every legged robotics paper, demystified.

    ~14 min

  5. 05

    ZMP, capture point, and the walking cookbook

    Published

    Zero Moment Point and Capture Point — the classical tools that kept Honda's ASIMO upright. Still useful in the era of learned gaits, and the lingua franca every humanoid team speaks.

    ~13 min

  6. 06

    Whole-body control for humanoids

    Published

    Hierarchical task control, friction cone constraints, the QP-based formulation every humanoid team uses. Turning a high-level plan into 25+ DOF of coordinated joint motion.

    ~14 min

  7. 07

    Reinforcement-learned gaits: the 2024–26 revolution

    Published

    Five years ago, every quadruped used hand-tuned MPC. Today they all use RL. Here's the recipe — domain randomization, action space choices, real-world deployment — that ate the field.

    ~13 min

  8. 08

    Drone control: from PID to nonlinear MPC

    Published

    The hierarchy that flies every quadrotor — three nested loops, each tuned for its timescale. PID for the rate loop, MPC for the trajectory, and the differential-flatness trick that makes it tractable.

    ~12 min

  9. 09

    Autonomous driving stack anatomy

    Published

    The perception → prediction → planning → control pipeline, mapped one level at a time. The architecture behind every L4 vehicle, with honest notes on what's still hard in 2026.

    ~14 min

  10. 10

    Social navigation: robots around people

    Published

    The frontier where metric planning meets human behavior modeling. Personal space, intent inference, and the hard task of being a 'polite' robot in a crowded space.

    ~12 min