This schedule is tentative and subject to change.
All Slides will be posted on Canvas
| DATE | TOPIC | DUE | READINGS |
|---|---|---|---|
| March 31 | Introduction and Course Overview | ||
| April 2 | Anatomy of an Autonomous Vehicle | Knowledge Survey | Prob. Rob., Ch. 1, Ch. 2 |
| April 4 | Recursive Bayes Filtering | Prob. Rob., Ch. 5.2, Ch. 6 (through 6.3) | |
| April 7 | Particle Filtering | Prob. Rob., Ch. 4 | |
| April 9 | Motion and Observation Models | Prob. Rob., Ch. 4 | |
| April 11 | Reading #1 | Reading responses | |
| April 14 | The Kalman Filter - TA lecture | Intro Project | A New Approach to Linear Filtering, Prob. Rob., Ch. 3 |
| April 16 | Quiz #1: Localization | ||
| April 18 | Reading #2 | Reading responses | |
| April 21 | Introduction to Feedback Control | Underactuated Robotics Ch. 1 | |
| April 23 | PID Control, Pure Pursuit | Pure Pursuit, DARPA Challenge Controllers | |
| April 25 | Reading #3 | Reading responses | |
| April 28 | Model Predictive Control | Localization Project | |
| April 30 | Linear Quadratic Regulator | Underactuated Robotics Ch. 8, Notes on LQR by P. Abbeel | |
| May 2 | Reading #4 | Reading responses | |
| May 5 | Introduction to Planning | Planning Algorithms Ch 1, Ch 4.1-4.3, Ch 6.5, Ch 14.1 | |
| May 7 | Heuristic Search | ||
| May 9 | Quiz #2: Controls | ||
| May 12 | Sampling-based Motion Planning | Controls Project | |
| May 14 | Lazy Search, Planning for Vehicles | A* | |
| May 16 | Introduction to Machine Learning, Behavior Cloning | ||
| May 19 | Reinforcement Learning (SARSA, Q-Learning) | ||
| May 21 | Quiz #3: Planning + Learning | ||
| May 23 | Guest Lecture Learning | ||
| May 26 | Memorial Day Holiday | Planning Project | |
| May 28 | Guest Lecture Learning | ||
| May 30 | Conclusion | ||
| June 2 | Work on project | ||
| June 4 | Work on project | ||
| June 6 | Final Project Demos (Time TBD) | Final Project |