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RBOT 230

Robot Sensing and Perception

This course provides an introduction to Computer Vision and AI, with several topics relevant to robotics such as SLAM, 3D Geometry, 3D Reconstruction, Object recognition, speech recognition, classification, RANSAC, etc. Students will connect to and use real sensors (2D, 3D) using common open frameworks.
At the end of the course, students will be able to:
Design programmatic solutions for solving robot perception tasks (vision and speech)
Implement and test the solutions using OpenCV and PCL
Characterize the perception algorithm performance boundaries
Discuss and analyze Open source Toolkits and Frameworks for building Perception systems

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