MSML642
Robotics
An introduction to the design and programming of robotics systems. Topics include kinematics, differential motion and velocity, dynamics and forces. Sensors, actuators and drive systems. Trajectory planning and motion control systems, open-loop and closed-loop controllers, state estimation and Kalman filters. It will also discuss recent applications of machine learning to motion planning, grasping, manipulation, and related areas.
Fall 2025
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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
Average GPA of 3.69 between 56 students*
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.