The curriculum
Robotics, end to end
The study resource we wish existed when we started. Thirteen tracks — from the math you actually need to the latest VLA models — mapped against Modern Robotics, UPenn, Columbia, Thrun, and the modern toolchain. Parity where it earns its place, depth where it matters, and the topics nobody else teaches.
Foundations
The math, code, and tooling every roboticist uses. Calibrated for builders, not mathematicians.
ROS 2
The de-facto robotics middleware. Nodes, topics, services, launch, TF, URDF, Nav2, MoveIt — the full working knowledge.
Kinematics & Dynamics
Where the robot is, how fast it's moving, and what forces it takes to make it move. The mechanical spine of the field.
Control
Making the robot do what you want despite physics, uncertainty, and bad luck. From PID to MPC to impedance.
Perception & Computer Vision
How the robot sees. Cameras, lidar, classical CV, and the deep models that power modern robot perception.
State Estimation & SLAM
Where is the robot, and what does the world around it look like? The probabilistic backbone of autonomous mobility.
Motion Planning
Getting the robot from A to B without hitting anything, violating limits, or burning actuators. From A* to trajectory optimization.
Manipulation
The hardest open problem in robotics. Grasping, pick-and-place, and the dexterity that still separates robots from humans.
Mobile & Legged Robotics
From differential drive to humanoid locomotion. Getting a body through the world on wheels, legs, or wings.
Learning for Robotics
Imitation, reinforcement, and the new wave of foundation models. The field that's redefining what robots can do.
Simulators
Where most robotics actually happens in 2026. The six simulators worth learning and the patterns they share.
Embedded & Hardware
The atoms side. Motors, encoders, microcontrollers, power, and the edge-AI hardware that closes the physical loop.
Frontiers
The topics most curricula ignore — and that separate a serious roboticist in 2026. Teleop rigs, VLA fine-tuning, humanoid whole-body, tactile, safety, cost engineering, and careers.
How this curriculum was built
We mapped the curricula of the top robotics learning resources on earth — Coursera Modern Robotics (Northwestern), UPenn and Columbia robotics programs, MIT Underactuated Robotics, Stanford CS223A, The Construct, Duckietown, Peter Corke's Robotics, Vision & Control, Thrun's Probabilistic Robotics, LeRobot, and Isaac Lab — then took the union. Every topic they cover shows up here. We then added a Frontiers track for the topics they miss: humanoid whole-body control, VLA fine-tuning, teleop rigs, tactile sensing, BOM engineering, and career building. Published lessons are full long-form articles. Planned lessons are stubs with target summaries — we ship them one by one, honest about what's ready.