Sequential Environment Recognition Using Distributed Object Model Data and LRF

摘要：

Environment recognition using distributed object model data and laser range finder (LRF) is proposed. The objects, such as chair and table, have its model data in the RFID tag which is attached on the object itself according to the distributed knowledge framework. Robot can obtain a part of the object shape from its LRF and the objects model data from the objects RFID when the robot passing by the objects. Then, the position and direction of the object are accurately estimated by combining these data. The proposed method is applied to sequential recognition in an office environment, and then the usefulness is experimentally confirmed.

关键词： Laser Range Finder Mobile Robot Position Estimation

作者: Toshiaki Ichino Kazuyoshi Wada

作者单位: Tokyo Metropolitan University Hino City, Tokyo

会议类型: 国际会议

会议名称: The 4th International Symposium on Computational Intelligence and Industrial Application(第四届国际计算智能和工业应用研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 79-84

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）