Schedule

This schedule is tentative and subject to change.

All Slides will be posted on Canvas

DATEDAYLECTURE TITLEINSTRUCTORRECORDINGSLIDESHW RELEASEHW DUE DATES
1/5/2026 Monday Introduction and Course Overview Abhishek
1/7/2026 Wednesday Anatomy of an Autonomous Vehicle Abhishek
1/9/2026 Friday Recursive Bayes Filtering Abhishek
1/12/2026 Monday Motion and Observation Models Abhishek
1/14/2026 Wednesday Motion Models + Kalman Filtering Abhishek
1/16/2026 Friday Kalman Filtering Abhishek
1/19/2026 Monday Martin Luther King Jr. Day (- no lecture -) Abhishek
1/21/2026 Wednesday Particle Filter Abhishek
1/23/2026 Friday Particle Filtering and EKF Abhishek
1/26/2026 Monday Seeded Paper Discussion: State Estimation Abhishek
1/28/2026 Wednesday Introduction to Feedback Control Sidd
1/30/2026 Friday PID Control and Pure Pursuit Sidd
2/2/2026 Monday Pure Pursuit and LQR Sidd
2/4/2026 Wednesday Linear Quadratic Regulator Continued Sidd
2/6/2026 Friday Sampling-based MPC + Lyapunov Stability Sidd
2/9/2026 Monday Seeded Paper Discussion: Control Sidd
2/11/2026 Wednesday Guest Lecture 1:
2/13/2026 Friday Introduction to Planning and Heuristic Search Sidd
2/16/2026 Monday Sampling-based Motion Planning Sidd
2/18/2026 Wednesday A* search, Lazy Search Sidd
2/20/2026 Friday Presidents Day (- no lecture -) Sidd
2/23/2026 Monday RRT ++ Sidd
2/25/2026 Wednesday Seeded Paper Discussion: Planning Sidd
2/27/2026 Friday Imitation Learning Abhishek
3/2/2026 Monday Reinforcement Learning - Policy Gradient Abhishek
3/4/2026 Wednesday Reinforcement Learning - Actor Critic Abhishek
3/6/2026 Friday Reinforcement Learning - Model-Based RL Abhishek
3/9/2026 Monday Guest Lecture 2:
3/11/2026 Wednesday Seeded Paper Discussion: Learning Abhishek
3/13/2026 Friday Final Project Demos Abhishek