Schedule

This schedule is tentative and subject to change.

DATETOPICDUEREADINGS
Jan 3 Introduction and Course Overview (Recording) Additional ROS Review
Jan 5 Anatomy of an Autonomous Vehicle (Recording) Knowledge Survey Prob. Rob., Ch. 1, Ch. 2
Jan 8 Recursive Bayes Filtering (Recording) Prob. Rob., Ch. 5.2, Ch. 6 (through 6.3)
Jan 10 Motion and Observation Models (Recording) Prob. Rob., Ch. 4
Jan 12 Motion Models + Kalman Filtering (Recording) A New Approach to Linear Filtering, Prob. Rob., Ch. 3
Jan 15 Martin Luther King Jr. Day (- no lecture -)
Jan 17 Kalman Filtering (Recording) Project 1: Introduction A New Approach to Linear Filtering, Prob. Rob., Ch. 3
Jan 19 Particle Filter (Recording) Prob. Rob., Ch. 4
Jan 22 Particle Filtering and EKF (Recording) The Unscented Kalman Filter
Jan 24 Paper Readings: State Estimation
Jan 26 Introduction to Feedback Control (Recording (Part 1)) (Recording (Part 2))
Jan 29 PID Control and Pure Pursuit (Recording) Pure Pursuit, DARPA Challenge Controllers
Jan 31 Pure Pursuit and LQR (Recording) Linear Quadratic Regulator Slides
Feb 2 Linear Quadratic Regulator Continued (Recording) Project 2: Localization
Feb 5 Sampling-based MPC + Lyapunov Stability (Recording)
Feb 7 Paper Readings: Control
Feb 9 Introduction to Planning and Heuristic Search (Recording) A*, Planning Algorithms Ch 1, Ch 4.1-4.3, Ch 6.5, Ch 14.1
Feb 12 Sampling-based Motion Planning (Recording)
Feb 14 A* search, Lazy Search (Recording) Project 3: Control
Feb 16 Paper Readings: Search
Feb 19 Presidents Day (- no lecture -)
Feb 21 Imitation Learning (Recording)
Feb 23 Reinforcement Learning - Policy Gradient (Recording)
Feb 26 Reinforcement Learning - More Policy Gradient
Feb 28 Reinforcement Learning - Model-Based RL Project 4: Planning
Mar 1 Guest Lecture 1: Paarth Shah and Benjamin Burchfiel (TRI)
Mar 4 Guest Lecture 2: Vikash Kumar (CMU)
Mar 6 Paper Readings: Learning
Mar 11 Final Project Demos (2:30 pm - 4:20 pm) Final Project