EECS 498: Introduction to Algorithmic Robotics
| Dmitry Berenson|
| Office: EECS 3217 |
| Office Hours: By appointment |
| Email: berenson [at] eecs.umich.edu |
| Office: TBD |
| Office Hours: TBD|
| 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: DOW 2150
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.
Syllabus: Please see here.
Boyd, Stephen, and Lieven Vandenberghe. Convex optimization. Cambridge University Press, 2004. Available on Amazon, or free online.
Steven M. LaValle, Planning Algorithms, Cambridge University Press, 2006. Available on Amazon, or free online.
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Third edition), Cambridge University Press, 2004. Available on Amazon.
Tentative Course Schedule: