Artificial Intelligence for Robotics
### Lesson 1: Localization - Localization - Total Probability - Uniform Distribution - Probability After Sense - Normalize Distribution - Phit and Pmiss - Sum of Probabilities - Sense Function - Exact Motion - Move Function - Bayes Rule - Theorem of Total Probability ### Lesson 2: Kalman Filters - Gaussian Intro - Variance Comparison - Maximize Gaussian - Measurement and Motion - Parameter Update - New Mean Variance - Gaussian Motion - Kalman Filter Code - Kalman Prediction - Kalman Filter Design - Kalman Matrices ### Lesson 3: Particle Filters - Slate Space - Belief Modality - Particle Filters - Using Robot Class - Robot World - Robot Particles ### Lesson 4: Search - Motion Planning - Compute Cost - Optimal Path - First Search Program - Expansion Grid - Dynamic Programming - Computing Value - Optimal Policy ### Lesson 5: PID Control - Robot Motion - Smoothing Algorithm - Path Smoothing - Zero Data Weight - Pid Control - Proportional Control - Implement P Controller - Oscillations - Pd Controller - Systematic Bias - Pid Implementation - Parameter Optimization ### Lesson 6: SLAM (Simultaneous Localization and Mapping) - Localization - Planning - Segmented Ste - Fun with Parameters - SLAM - Graph SLAM - Implementing Constraints - Adding Landmarks - Matrix Modification - Untouched Fields - Landmark Position - Confident Measurements - Implementing SLAM ### Runaway Robot Final Project
Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars. This course is offered as part of the Georgia Tech Masters in Computer Science. The updated course includes a final project, where you must chase a runaway robot that is trying to escape!