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Learning pathBeginner~11 hours

Robotics Foundations

Coordinate frames, rigid motion, kinematics, and how robots use sensors — structured as a progression with exercises.

What you'll learn

  • Frames
  • Kinematics
  • IK
  • Sensors
  • Vision–action

Your progress

0 / 6 lessons reached

Lessons in this path

Work top to bottom within each module, or jump in from the table of contents on each lesson page.

Module 1. Frames & rigid motion

Representing pose, composing transforms, and moving between world, base, and end-effector coordinates.

  1. Lesson 150 min

    Coordinate frames and transforms

    Right-handed frames, translation vectors, rotation matrices, and the rules for chaining transforms.

  2. Lesson 260 min

    Rigid body motion in 2D and 3D

    Special orthogonal groups, Euler vs axis–angle, and homogeneous coordinates for compact composition.

Module 2. Kinematics

Forward and inverse kinematics for serial arms: from joint angles to Cartesian pose and back.

  1. Lesson 365 min

    Forward kinematics and the product of exponentials

    DH parameters vs PoE, building the chain, and computing the tool pose from joint configuration.

  2. Lesson 470 min

    Inverse kinematics: redundancy and numerical methods

    Analytic vs numerical IK, Jacobians, null-space motion, and practical pitfalls near singularities.

Module 3. Perception & closed-loop control

How robots sense the world and close the loop from perception to motion — including vision basics for manipulation.

  1. Lesson 555 min

    Sensors, state, and uncertainty

    Proprioception, IMUs, lidar, cameras, noise models, and why state estimation treats belief distributions.

  2. Lesson 660 min

    From images to motions (intro)

    Hand–eye calibration, visual servoing at a high level, and how CV lessons connect to robot motion.