Announcements

Matlab code repository
Project Ideas
Homeworks
Review Chapters 3, 13, 14, 15 from Russel and Norvig AI book

Schedule (subject to change)

Date	Topic, Handouts	Assignments/Due dates
Jan. 26	- Introduction and course logistics slides.pdf,   - Rigid Body Motion (.pdf)   - Notes (.pdf)	- Get familiar Matlab Matlab   - Read Stanley paper (.pdf)
Feb. 2	- Robot Kinematics, Kinematic chains   - Mobile robot kinematics slides.pdf,   writeup.pdf	Homework 1
Feb. 9	- Linear Algebra Review (cont.) (.pdf)   - Elementary Control slides.pdf   - Trajectory Generation Notes (.pdf)	- Chapter 3.4.3 until the end in Siegwart
Feb. 16	- Control Continued   - Robot Behaviours and Architectures (.pdf)   - Steering behaviors www	Homework 2
Feb. 23	- Motion Planning (.pdf)   - Potential Field Methods
March 1	- Robot Perception
March 8	- Robot Perception   - Iterative Closest Point Algorithm	- Chapter 4.2-4.5 in Siegwart   - Homework 3
March 15	- Spring break
March 15	- Introduction to Probabilistic Robotics	- Bayes Filters, Kalman Filter
March 22	- Sensor Models, Motion Models	- Chapter 5.6 in Siegwart, www.probabilistic-robotics.org   - Homework 4 out
March 29	- Discrete Particle filters	- www.probabilistic-robotics.org
April 5	- Robot Localization	- www.probabilistic-robotics.org
April 12	- Extended Kalman Filter	- Homework 5 out
April 19	- Simultaneous Localization and Mapping
April 26	- Reinforcement Learning
May 3	- Markov Decision Processes, POMDP's

Related software, robot simulators, GMU info

GMU robot lab
Matlab resources - Matlab Primer 
Kalman Filter material repository 
Introduction to the Kalman filter (notes)
Teambots simulator - for single/multi robot simulation (java)
Player/Stage Robot and sensor simulator
Mason simulator - multiagent simulation base, large number of agents (java) + other simulator links
The Sick LIDAR Matlab/C++ Toolboox