© 2015 Zhejiang University Press Co., Ltd. Published by Elsevier Inc. All rights reserved. This chapter addresses visual object perception applied to mobile robotics. Being able to perceive household objects in unstructured environments is a key capability in order to make robots suitable to perform complex tasks in home environments. However, finding a solution for this task is daunting: it requires the ability to handle the variability in image formation in a moving camera with tight time constraints. The chapter brings to attention some of the issues with applying three state of the art object recognition and detection methods in a mobile robotics scenario, and proposes methods to deal with windowing/segmentation. Thus, this work aims at evaluating the state-of-the-art in object perception in an attempt to develop a lightweight solution for mobile robotics use/research in typical indoor settings.
|Title of host publication||Household Service Robotics|
|Number of pages||34|
|Publication status||Published - 1 Jan 2015|
- Mobile robots
- Object recognition