Power point slides:

Jan. 6:           Lecture 1        Introduction / Control Structures        Text 1.1, 6.3

Jan. 8:         Lecture 2        Locomotion, Robot Representations    Text 2.1-2.3,3-3.2.2

Jan. 13:         Lecture 3        Uncertainty in Robot Motion               Text 5.2.3, 5.2.4

Jan. 15:         Lecture 4        PointTracking                                      Text 3.4, 3.6

Jan. 20:          Lecture 5        Perception I - Sensors                          Text 4.1-4.1.6, 4.2

Jan. 22:          Lecture 6        Perception I - Sensors (cont')

Jan. 27:         Lecture 7        Perception II - Sensor Systems             Text 4.1.5, 4.1.8

Jan. 29:        Lecture 8        Perception II - Sensor Systems (cont')

Feb. 3:           Lecture 9        Introduction to Robot Localization       Text 5.1-5.2.3, 5.4, 5.5

Feb. 5:           Lecture 10      Markov Localization                            Text 5.6.2

Feb. 10:         Lecture 11       Particle Filter Localization                      See Probabilistic Robotics

Feb. 12:         Lecture 12       Applying PF Localization

Feb. 17:          Lecture 13       Intro to Motion Planning

Feb. 19:          Lecture 14       Motion Planning Discretizations & PRMs

Feb. 24:         Lecture 15      Lab Only

Feb. 26:          Lecture 16      Single Query Probabilistic Road Maps

Mar. 3:           Lecture 17       Cell Decomposition & Potential Fields

Mar. 5:           Lecture 18       Lab Only

Mar. 10:         Lecture 19      Graph Searches for Motion Planning

Mar. 12:         Lecture 20       Competition

Mar. 19:         Final Exam - Due 7:00pm by handin (see exam instructions) or at worst by email (cmclark A calpoly.edu)