![]() Students are encouraged to communicate frequently with the instructor regarding any issues with the course. It has a Raspberry Pi processor and a laser rangefinder. The robot, TwoPi, is built on a Create platform from iRobot. Tom is available on an as-needed basis for help with the robot. If requesting an appointment, please send an email suggesting some possible times for appointments. The textbook for the course is Probabilistic Robotics, by Sebastian Thrun, Wolfram Burgard, and Dieter Fox, MIT Press (2006) ISBN: 978-2-9 Some knowledge of linear algebra will be helpful. Prerequisites: Comp 131 or permission of instructor. ![]() These techniques will then be applied to topics such as localization, mapping, planning, and control. The first part of the course will introduce the Kalman filter and related Bayesian filters for state estimation. This course is a continuation of COMP 131 (Artificial Intelligence) with an emphasis on probabilistic methods that can be applied to robotics. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
May 2023
Categories |