Automated Object Locating System

Participants: 

Evan Katims
Michael McLaughlin

Advisor: 
Prof. Dana



Abstract

Robust and fast paced object recognition plays a fundamental role in many applications of robotics and computer vision. In our project we make use of a high definition camera attached to a mobile lego robot in order to recognize and move to desired objects in a room. The main objective of our project is to be able to extract important data from a surrounding scene and through the use of corresponding point matches to templates, determine exactly what objects are in the camera’s view. Once this data is obtained the robot can automatically move to an object of our choice.