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Home » Courses » Electrical Engineering and Computer Science » Underactuated Robotics » Video Lectures » Lecture 14: Feasible Motion Planning

Lecture 14: Feasible Motion Planning

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Topics covered: Feasible motion planning

Instructors: Russell Tedrake

Lecture 1: Introduction

Lecture 1: Introduction

Lecture 2: The Simple Pendulum

Lecture 2: The Simple Pendulum

Lecture 3: Optimal Control of the Double Integrator

Lecture 3: Optimal Control ...

Lecture 4: Optimal Control of the Double Integrator (cont.)

Lecture 4: Optimal Control ...

Lecture 5: Numerical Optimal Control (Dynamic Programming)

Lecture 5: Numerical Optima...

Lecture 6: Acrobot and Cart-pole

Lecture 6: Acrobot and Cart...

Lecture 7: Swing-up Control of Acrobot and Cart-pole Systems

Lecture 7: Swing-up Control...

Lecture 8: Dynamic Programming (DP) and Policy Search

Lecture 8: Dynamic Programm...

Lecture 9: Trajectory Optimization

Lecture 9: Trajectory Optim...

Lecture 10: Trajectory Stabilization and Iterative Linear Quadratic Regulator

Lecture 10: Trajectory Stab...

Lecture 11: Walking

Lecture 11: Walking

Lecture 12: Walking (cont.)

Lecture 12: Walking (cont.)

Lecture 13: Running

Lecture 13: Running

Now Playing

Lecture 14: Feasible Motion Planning

Lecture 14: Feasible Motion...

Lecture 15: Global Policies from Local Policies

Lecture 15: Global Policies...

Lecture 16: Introducing Stochastic Optimal Control

Lecture 16: Introducing Sto...

Lecture 17: Stochastic Gradient Descent

Lecture 17: Stochastic Grad...

Lecture 18: Stochastic Gradient Descent 2

Lecture 18: Stochastic Grad...

Lecture 19: Temporal Difference Learning

Lecture 19: Temporal Differ...

Lecture 20: Temporal Difference Learning with Function Approximation

Lecture 20: Temporal Differ...

Lecture 21: Policy Improvement

Lecture 21: Policy Improvement

Lecture 22: Actor-critic Methods

Lecture 22: Actor-critic Me...

Lecture 23: Case Studies in Computational Underactuated Control

Lecture 23: Case Studies in...

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