Lifelong Robotic Object Perception

By Alvaro Collet Romea |  Robotics Institute, Carnegie Mellon University  |  August 2012
Download thesis

In this thesis, we study the topic of Lifelong Robotic Object Perception. We propose, as a long-term goal, a framework to recognize known objects and to discover unknown objects in the environment as the robot operates, for as long as the robot operates. We build the foundations for Lifelong Robotic Object Perception by focusing our study on the two critical components of this framework: 1) how to recognize and register known objects for robotic manipulation, and 2) how to automatically discover novel objects in the environment so that we can recognize them in the future.

Please publish modules in offcanvas position.

Free Joomla! template by L.THEME