Multilevel multisensor based decision fusion for intelligent animal robot
Multilevel multisensor based decision fusion for intelligent animal robot
复制标题
基于多级多传感器的智能动物机器人决策融合
DOI：
10.1109/robot.2001.933278
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
K. Su
中科院分区：
文献类型：
--
作者：
R. Luo;S. Phang;K. Su
本文的目的是发展多级多传感器的决策融合原则的智能动物机器人。本文介绍了一种四足动物机器人的设计与实现。动物机器人的头部、身体和腿都是用铝材料制成的。设计了动物机器人的控制/决策单元、驱动单元和感知单元。此外，我们使用分层组织的控制硬件和多级多传感器融合技术，以获得融合的决定。采用权函数和基于规则的算法对多传感器数据进行融合。初步的实验结果表明，所提出的方法可以有效地融合决策的动物机器人。
The objective of the paper is to develop multilevel multisensor based decision fusion principles for an intelligent animal robot. The paper presents the design and implementation of a four-legged animal robot. The animal robot's head, body, and legs were constructed using aluminum material. The control/decision unit, driver unit and sensory unit were designed for the control of the animal robot. In addition, we use hierarchically organized control hardware and multilevel multisensor based fusion techniques to obtain a fused decision. Weight function and rule based algorithms are employed to fuse and integrate multisensor data. Preliminary experimental results indicate that the proposed methods can effectively fuse decisions for the animal robot.