Autonomous Interpretation of Elevator
نویسندگان
چکیده
The objective of the work presented in this paper is develop a method to interpret interior elevator panels for robot navigation. We outline a three-level hierarchical approach applies principles from both supervised and unsupervised machine learning techniques. In particular, we will show the development of an algorithm that accepts an elevator panel image paired with a desired floor location and determines the region in the image corresponding to the floor’s butto optimal location for a robotic arm to press.
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تاریخ انتشار 2008