EECS 498: Introduction to Algorithmic Robotics
Fall 2020
Instructor:
Dmitry Berenson |
Location: Online |
Office Hours: 4:30-5pm after class Mondays and Wednesdays (just stay in the zoom room of the class): These are group office hours that will be recorded along with the lecture. Also, 11am-12pm Fridays: These are 1-on-1 office hours you need to book by appointment. See Piazza for booking details. |
Email: berenson [at] eecs.umich.edu |
GSI:
Anthony Liang |
Location: Online |
Office Hours: Sundays 5 - 7pm, Tuesdays 5 - 6pm, and 9pm - 10pm. All times are EST. |
Email: aliangdw [at] umich.edu |
We will use Piazza for questions and discussion. Access the class discussion site here.
Time: Live lectures: Monday, Wednesday 3:00pm - 4:30pm. All lectures will be recorded and posted online.
Overview: An introduction to the algorithms that form the foundation of robot planning, state estimation, and control. Topics include optimization, motion planning, representations of uncertainty, Kalman and particle filters, and point cloud processing. Assignments focus on programming a robot to perform tasks in simulation.
Prerequisites: Required: EECS 280, Recommended: EECS 281 and MATH 214
No credit if students have taken EECS 598: Motion Planning.
Books:
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Boyd, Stephen, and Lieven Vandenberghe. Convex optimization. Cambridge University Press, 2004. Available on Amazon, or free online.
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Steven M. LaValle, Planning Algorithms, Cambridge University Press, 2006. Available on Amazon, or free online.
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Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Third edition), Cambridge University Press, 2004. Available on Amazon.
Syllabus: Please see here.
Tentative Course Schedule: