Lectures
Stanford lecture recordings aligned to the book's chapters. Recordings are being released progressively over the coming months. Check back soon! For all other class-related materials, such as lecture slides, homeworks, suggested readings, and more, see the course websites: Stanford AA174A and Stanford AA203.
1 Modeling Robot Dynamics
2 Open-Loop Control & Trajectory Optimization
3 Closed-Loop Control & Trajectory Tracking
4 Motion Planning
5 Introduction to Robot Sensors
6 Camera Models and Calibration
7 Stereo Vision and Structure From Motion
8 Classical Methods for Perception
9 Deep Learning Architectures for Perception
10 Object Detection and Recognition
11 Introduction to Localization and Filtering
12 Approximate Filters for State Estimation
13 Robot Localization
14 Simultaneous Localization and Mapping (SLAM)
15 Sensor Fusion and Object Tracking
16 Finite State Machines
17 Sequential Decision Making and Dynamic Programming
18 Reinforcement Learning
19 Imitation Learning