Most papers and powerpoint notes below are copyrighted by their authors or publishers. Please respect that copyright by using the papers only for purposes of assigned reading in this class.

Date	Topic	Notes and Readings
8/22	Introduction and probability theory background	Notes (PPT and PDF)
8/29	Bayesian filtering	Notes (PPT and PDF)
9/5	No class	Labor Day holiday
9/12	Sensor models and perception	Notes (PDF)

The last day to add/drop for CS 547 is Sept 13

9/19	PR2 and ROS tutorial	Notes and pointers
9/26	Quiz 1	(Gaurav and Megha at IROS)
10/3	Action models	Notes (PDF)
10/10	Bayesian filtering revisited: the Kalman filter and Particle filtering	Notes (PDF)
10/17	The Markov decision process	Notes (PDF)
10/24	The partially observable Markov decision process	Notes (PDF)
10/31	Interim project updates	Short presentations and demos by students
11/7	SLAM and FastSLAM	Notes (PDF)
11/14	Quiz 2	(Gaurav on travel)
11/21	Extended office hours	Final project issues with TA and course staff
11/28	Final project presentations	Short presentations and demos by students