ME 465 - Machine Vision and Robotics

Course Cross-listed with ME 565
3 credit(s)
This course provides an introduction to autonomous mobile robotics applications specifically focusing on visual localization methodologies including sensor data collection and processing: Techniques to predict locale of a robot while it is traversing/moving in known and unknown environments. Data collection topics include sensor fusion frequency synchronization and resolution adjustment methods. Processing tools include landmark detection, optical flow, depth formation with stereo imaging, structure from motion, 3D Lidar map generation with ICP, and their use for stochastic trajectory generation with SLAM based solutions. Course reviews current industrial applications and includes a hands-on robotics project with real world manufacturing and/or autonomous mobile robot sensor suite collected real world data.
Prerequisite(s): M 221W or M 240 and senior standing, or permission of instructor.
Laboratory fee.

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