An integrated, modular framework for computer vision and cognitive robotics research (icVision)

12Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present an easy-to-use, modular framework for performing computer vision related tasks in support of cognitive robotics research on the iCub humanoid robot. The aim of this biologically inspired, bottom-up architecture is to facilitate research towards visual perception and cognition processes, especially their influence on robotic object manipulation and environment interaction. The icVision framework described provides capabilities for detection of objects in the 2D image plane and locate those objects in 3D space to facilitate the creation of a world model. © 2013 Springer-Verlag.

Cite

CITATION STYLE

APA

Leitner, J., Harding, S., Frank, M., Förster, A., & Schmidhuber, J. (2013). An integrated, modular framework for computer vision and cognitive robotics research (icVision). In Advances in Intelligent Systems and Computing (Vol. 196 AISC, pp. 205–210). Springer Verlag. https://doi.org/10.1007/978-3-642-34274-5_37

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free