Code the robot workforce. Master bipedal locomotion, balance control, and human-robot interaction for general-purpose androids.
Humanoid robots are entering factories and homes. This course tackles the hardest problem in robotics: bipedal movement. You will learn the physics of the Inverted Pendulum model for balance. Master Zero Moment Point (ZMP) and Model Predictive Control (MPC) to make robots walk without falling. We also cover manipulation (using hands) and Human-Robot Interaction (HRI) safety protocols. Prepare to program the next generation of Tesla Bots or Boston Dynamics platforms.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
We use physics simulators (MuJoCo); hardware is rare.
Yes, bipedal walking is a difficult physics problem.
Yes, Reinforcement Learning is replacing manual code.
Exploding demand (Tesla, Figure, Agility).
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