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Discussion:

Canvas: https://canvas.uw.edu/courses/1545402

Please access Zoom class lectures and recordings via Canvas.

Discussion board: https://edstem.org/us/courses/21585/discussion

Use this board to discuss the content of the course. Feel free to discuss homeworks, projects, and any confusion over topics discussed in class. It is also acceptable to ask for clarifications about the statement of homework problems, but not about their solutions.

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Textbook:

There is no required textbook for the class. Many of the lectures and homework assignments will have associated papers and chapters from:

Probabilistic Robotics, S. Thrun, W. Burgard, and D. Fox., MIT Press, Cambridge, MA, September 2005.

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Homeworks:

There will be 3 homeworks with programming components done in Python.

• Assignment #1, due Tue, Apr 19, 11:59PM (PDF, LaTeX, Code)
• Assignment #2, due Wed, May 11, 11:59PM (PDF, LaTeX, Code)
• Assignment #3, due Wed, Jun 03, 11:59PM (PDF, LaTeX, Code)

Late policy: You have a total of 6 late days for the whole quarter. But each assignment may be handed in up to 5 days late, after which a penalty of 10% of the maximum grade is applied per day.

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Projects:

The projects will be done in teams of 2-3 and will account for 40% of your grade. This quarter we provide two project options:
(1) complete two guided projects OR
(2) do a single open-ended project. See the timeline below for deliverables.

Guided Projects: You will explore some classic problems in robotics via completing a set of tasks designed by the TAs.

• Guided Project #1, due Mon, May 2, 11:59PM (PDF, Code)
• Guided Project #2, due Tue, Jun 7, 11:59PM (PDF, Code)

Open-ended Project: You will propose your own problem, design the solution and present the results. We encourage ideas related to robotics and your own research.

• Open-Ended Project, see timeline below (PDF)

Final Presentations: Open-Ended and Guided Project 2 presentations will be held on Mon, Jun 6, 10:30am-12:30pm.

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Grading:

You will submit your assignments (both writeups and code) to gradescope. You have all been enrolled into the class. Please check your email.

• Homeworks (60%)
• Project (40%)

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Anonymous Feedback:

Please send your feedback via https://feedback.cs.washington.edu/

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Course Outline