ICRA 2012 Paper Abstract


Paper TuD110.4

Rogers III, John G. (Georgia Institute of Technology), Christensen, Henrik Iskov (Georgia Institute of Technology)

A Conditional Random Field Model for Place and Object Classification

Scheduled for presentation during the Interactive Session "Interactive Session TuD-1" (TuD110), Tuesday, May 15, 2012, 16:30−17:00, Ballroom D

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on November 14, 2018

Keywords Domestic Robots, SLAM, Service Robots


Place categorization and object recognition are competencies needed by robots to perform a variety of service tasks in the home, such as fetch-and-carry, retrieval, cleaning, meal preparation, and companionship. Context is a powerful cue for place categorization and object recognition; rooms are laid out in a specific fashion to enable comfortable and efficient living, and objects are used within rooms for tasks specific to that room. This paper will present a technique which leverages contextual cues for joint reasoning about object and room classification via a conditional random field model.



Technical Content © IEEE Robotics & Automation Society

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2018 PaperCept, Inc.
Page generated 2018-11-14  07:25:57 PST  Terms of use