CS 6756 - [Advanced Topics in Robot Learning: 3D Perception]

Fall. 4 credits. Student option grading.

Staff.

This course focuses on learning techniques for 3D perception for robots with inexpensive RGBD cameras such as Kinect that give 3D data in addition to an image. We will study machine-learning algorithms (such as graphical models and sampling based methods) for perceiving the environment, which includes performing object detection, semantic labeling of the environment and human activity recognition. Particular robotic applications include navigation, manipulation, human-robot interaction and assistive robotics. Undergraduates and masters students need permission of the instructor to take this course.

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