Lecture Schedule

Since this is a lab class and lectures have to support the exercises, it is difficult to fully predict the class schedule. Here is a list of topics we will cover: Fundamentals, Drive Systems, Motion Planning, Review of Probability, Localization and Mapping, and some more advanced topics depending on your interests. We'll also talk about software architecture in the context of your lab exercises.

	1	Tue Jan 30	Introduction	Handouts 1, 2, 3, 4 Slides 1 Notes 1
	2	Thu Feb 1	Introduction Fundamentals	Handouts 5 Slides 2
	3	Tue Feb 6	Discussion of remaining labs Fundamentals	Handout 6
	4	Thu Feb 8	Lab Demo in EdLab
	5	Tue Feb 13	Presentations	Presentations Sensing Alignment MoveBetweenCells
	6	Thu Feb 15	Presentations, Fundamentals	Presentations MovingMultipleCells MultiMoveTurning Slides 3 Notes 2, 3
	7	Tue Feb 20	Fundamentals, Drive Systems
	8	Thu Feb 22	Fundamentals, Drive Systems
	9	Tue Feb 27	Motion Planning	Slides 4 Supplement
	10	Thu Mar 1	Motion Planning
	11	Tue Mar 6	Motion Planning
	12	Thu Mar 8	Lab Demo
	13	Tue Mar 13	Motion Planning	Handout 7, 8
	14	Thu Mar 15	Motion Planning
		Tue Mar 20	Spring Recess
		Thu Mar 22	Spring Recess
	15	Tue Mar 27	Guest Lecture Building a Nano-Robot Filip Jagodzinki
	16	Thu Mar 29	Probability Review
	17	Tue Apr 3	Localization for the next lab
	18	Thu Apr 5	Localization	Slides 6, 7 Handout 9
	19	Tue Apr 10	Lab Demo
	20	Thu Apr 12	Guest Lecture UBot Bryan Thibodeau
		Tue Apr 17	Monday Schedule
	21	Thu Apr 19	Derivation of Monte Carlo Localization
	22	Tue Apr 24	Mapping, Estimation, Recap	Slides 8 Handout 10
	23	Thu Apr 26	Lab Demo
	24	Tue May 1	Robot Arms	Slides 9 Notes 10
	25	Thu May 3	Computer Vision, Learning	Slides 10 Supplement ppt Notes 10
	26	Tue May 8	Computer Vision, Learning
	27	Thu May 10	Lab Visits
	28	Tue May 15	Final Competition