Integrated multimedia understanding for sensor and actor networks based on mental image directed semantic theory

The distributed intelligent robot network (DIRN) is proposed as one kind of wireless sensor and actor network (WSAN) consisting of one brain node and numerous sensor and actuator nodes with human-friendly interfaces. In order to realize well-coordinated DIRNs, it is very important to develop a systematically computable knowledge representation language as well as efficient networking technologies. As a candidate for this purpose, the multimedia description language L_md was evaluated by applying it to simulation of DIRN-world interaction.