Schedule

This schedule is tentative and subject to change.

DATETOPICDUEREADINGS
Jan 06 Introduction and Course Overview (Recording) Knowledge Survey Additional ROS Review
Jan 08 Anatomy of an Autonomous Vehicle Prob. Rob., Ch. 1, Ch. 2
Jan 10 Recursive Bayesian Filtering (Recording) Prob. Rob., Ch. 5.2, Ch. 6 (through 6.3)
Jan 13 Recursive Bayesian Filtering (Recording) Prob. Rob., Ch. 5.2, Ch. 6 (through 6.3)
Jan 15 Motion and Observation Models (Recording) Prob. Rob., Ch. 4
Jan 17 Motion and Observation Models (Recording) Prob. Rob., Ch. 4
Jan 20 Martin Luther King Jr. Day (no lecture🎉) Project 1 due on Jan 21
Jan 22 Particle Filter (Recording) Prob. Rob., Ch. 4
Jan 24 Particle and Kalman Filtering (Recording) A New Approach to Linear Filtering, Prob. Rob., Ch. 3
Jan 27 Kalman Filtering and EKF (Recording) The Unscented Kalman Filter
Jan 29 EKF and SLAM (Recording) The Unscented Kalman Filter
Jan 31 Paper Readings: State Estimation
Feb 03 Introduction to Feedback Control (Recording) Project 2 due on Feb 04
Feb 05 PID Control (Recording) Project 2 due on Feb 06
Feb 07 PID Control and Pure Pursuit (Recording) Pure Pursuit, DARPA Challenge Controllers
Feb 10 Pure Pursuit and LQR (Recording) Linear Quadratic Regulator Slides
Feb 12 LQR and MPC (Recording) Post seeded discussion 1 on Ed
Feb 14 Sampling-based MPC and Lyapunov Stability (Recording)
Feb 17 Presidents' Day (no lecture🎉)
Feb 19 Paper Readings: Control Project 3 due on Feb 20
Feb 21 Introduction to Planning and Heuristic Search (Recording) Project 3 due on Feb 23 A*, Planning Algorithms Ch 1, Ch 4.1-4.3, Ch 6.5, Ch 14.1
Feb 24 Graph Construction for Search (Recording)
Feb 26 A* search, Lazy Search (Recording)
Feb 28 Lazy A* and RRT (Recording)
Mar 03 Imitation learning (Recording) Post seeded discussion 2 on Ed
Mar 05 Paper Readings: Planning
Mar 07 Guest Lecture 1: Jeannette Bohg (Stanford) Project 4
Mar 10 Model-Free RL (Recording)
Mar 12 Model-Based RL (Recording)
Mar 14 Paper Readings: Learning Post seeded discussion 3/4 before Mar 18/21