Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
Abstract-We describe Localization-Space Trails (LOST), a method that enables a team of robots to navigate between places of interest in an initially unknown environment using a tra...
Radio Frequency Identification (RFID) has recently received a lot of attention as an augmentation and interface technology with physical and virtual objects in the ubiquitous comp...
Jae Yeol Lee, Dong Woo Seo, Byung Youn Song, Rajit...
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...