EECS 498: Introduction to Algorithmic Robotics
Fall 2021
Instructor:
| Dmitry Berenson |
| Office: 1050 FRB |
| Office Hours: 4:30-5pm after class Mondays and Wednesdays: These are group office hours that will be recorded. |
| Email: dmitryb [at] umich.edu |
GSI:
| Tianyi Liu |
| Location: TBD |
| Office Hours: Tues 7-9pm, and Sun 7-9pm. |
| Email: tannertl [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: MATH 215 and EECS 280 and (Junior Standing or Senior Standing or Graduate Standing) or permission of instructor
-Recommended: EECS 281 and (MATH 214/217/417/419 or ROB 101)
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: