Robotics Engineer Lab

This is the deep end. You will solve inverse kinematics analytically, tune a live PID controller, design autonomous behavior with finite state machines, and finally drive a six-wheel rover across procedurally generated Martian terrain. These are the exact tools professional robotics engineers use daily.

You will learn: doneInverse kinematics donePID control theory doneFinite state machines doneTerrain navigation doneControl tuning doneSystems thinking

play_arrow Start course play_lesson4 lessons schedule~76 min total

Lessons

1 open_with Inverse Kinematics Drag a target and watch a 2-link arm solve its own joint angles analytically — including the moment it fails. 3D model 18 min done 2 timeline The PID Controller Tune Kp, Ki and Kd live on a cart that must hold position, and watch overshoot, oscillation and damping on a scrolling graph. Simulation 20 min done 3 account_tree Logic & State Machines Watch a robot vacuum run a finite state machine — SEARCH, BACKUP, TURN, DOCK — and see why states beat spaghetti code. Simulation 18 min done 4 rocket_launch Mars Rover Sandbox Drive a six-wheel rover across procedural Martian terrain, watch your tilt, dodge rocks — and learn why real rovers must drive themselves. 3D model 20 min done