Abstract

C. Siagian, C.-K. Chang, R. C. Voorhies, L. Itti, Cover Photo of journal Autonomous Robots, Vol. 29, No. 2, p. 1, Aug 2010. [2008 impact factor: 1.235]

Abstract: The front cover shows Beobot 2.0 developed at iLab, University of SOuthern California, USA. This wheelchair-based robot is a mobile high performance parallel computing platform equipped with a Beowulf cluster of sixteen 2.2 GHz processing cores. The robot features sensors including Laser Range Finder, sonars, low-latency camera, Inertial Measurement Unit (IMU), Global Positioning System (GPS), and a compass. The robot is used to implement computationally hungry, neuroscience-inspired algorithms for visual attention, object recognition, indoor/outdoor localization and navigation, and cognitive visual scene analysis. Image used with permission from iLab, University of Southern California, USA.

Themes: Computational Modeling, Model of Bottom-Up Saliency-Based Visual Attention, Scene Understanding, Beobots