Multilevel multisensor based decision fusion for intelligent animal robot

The objective of the paper is to develop multilevel multisensor based decision fusion principles for the application of intelligent animal robot. This paper presents the design and implementation of a four-legged animal robot. The animal robot's head, body, anti legs were constructed using aluminum material. Control/decision unit, driver unit and sensory unit were designed,fbr the control of the animal robot. In addition, we use hierarchical organized control hardware and the multilevel multisensor based fusion techniques to obtain 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 decision,fbr the animal robot.