ShopBot: Progress in developing an interactive mobile shopping assistant for everyday use

ShopBot: Progress in developing an interactive mobile shopping assistant for everyday use
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ShopBot:开发日常使用的交互式移动购物助手的进展

DOI:
10.1109/icsmc.2008.4811835
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发表时间:
2008
期刊:
2008 IEEE International Conference on Systems, Man and Cybernetics
影响因子:
--
通讯作者:
A. Bley
A. Bley
中科院分区:
--
文献类型:
--
作者:
H. Groß;Hans;Christof Schröter;Steffen Müller;A. Koenig;Christian Martin;Matthias Merten;A. Bley

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本文介绍了我们长期研究项目ShopBot取得的进展,该项目旨在开发一种用于购物中心或家装商店日常使用的智能交互移动购物助手。它侧重于在两个重要方法方面取得的最新进展:(1)利用基于声纳的网格地图和基于视觉的图形地图,通过先进的拉奥-布莱克韦勒SLAM方法在线建立作业区地图,以及(2)在导游期间对多模式用户检测和跟踪的概率方法。在一家普通家装商店实现的地图构建特征和人的跟踪行为的实验结果表明,这两种方法都是可靠的。此外,我们介绍了自2008年3月以来在巴伐利亚州另一家家装商店使用三名机器人购物助理进行的长期实地试验的第一批非常令人鼓舞的结果。在这项实地测试中,机器人可以证明它们对这一具有挑战性的现实世界应用的适用性,以及必要的用户接受度。
The paper describes progress achieved in our long-term research project ShopBot, which aims at the development of an intelligent and interactive mobile shopping assistant for everyday use in shopping centers or home improvement stores. It is focusing on recent progress concerning two important methodological aspects: (i) the on-line building of maps of the operation area by means of advanced Rao-Blackwellized SLAM approaches using both sonar-based gridmaps as well as vision-based graph maps as representations, and (ii) a probabilistic approach to multi-modal user detection and tracking during the guidance tour. Experimental results of both the map building characteristics and the person tracking behavior achieved in an ordinary home improvement store demonstrate the reliability of both approaches. Moreover, we present first very encouraging results of long-term field trials which have been executed with three robotic shopping assistants in another home improvement store in Bavaria since March 2008. In this field test, the robots could demonstrate their suitability for this challenging real-world application, as well as the necessary user acceptance.
基于蒙特卡罗定位的移动机器人的分层图像定位
DOI: --
发表时间: 2003
期刊: Proc.1st European Conference on Mobile Robots (ECMR)
影响因子: --
作者:
E.Menegatti;M.Zoccarato;E.Pagello;H.Ishiguro
通讯作者: H.Ishiguro
DOI: 10.1109/iros.2006.282457
发表时间: 2006-10
期刊: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
影响因子: --
作者:
T. Tomizawa;A. Ohya;S. Yuta
通讯作者: T. Tomizawa;A. Ohya;S. Yuta