EECS 498: Introduction to Algorithmic Robotics
Fall 2018
Instructor:
| Dmitry Berenson |
| Office: EECS 3217 |
| Office Hours: By appointment |
| Email: berenson [at] eecs.umich.edu |
GSI:
| Peiyan "Vince" Gong |
| Office: EECS 3312 |
| Office Hours: Tuesdays 9am-12pm and Wednesdays 1pm-3pm |
| Email: pygong [at] umich.edu |
We will use Piazza for questions and discussion. Access the class discussion site here.
Time: Monday, Wednesday 3:00pm - 4:30pm
Location: EECS 1200
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 ROB 550 or 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: