The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations

Abstract

According to the basic concept of the In-Robot Network(IRN), an IRN structure that can handle burst data is proposed. According to the existing research on humanoid robots, it can be seen that the current humanoid robots have a high degree of freedom of joints and carry various sensors at the same time to form a huge IRN network. It can be known from existing research that most of the current humanoid robots operate according to preset scenarios and plans. If a special situation occurs, the current IRN structure of a humanoid robot cannot handle a large amount of burst data in a special situation. Therefore, based on the in-vehicle network (IVN) and time-sensitive network (TSN) concepts, an IRN structure that can handle the data generated in the above-mentioned emergencies is proposed in this article. In this IRN structure, the Domain Control Unit (DCU) is used to detect the status of the data stream in each different area to distinguish whether an emergency occurs. Also, according to different emergencies, use different ways to deal with the emergent data. Meanwhile, it is verified by the OMNet++ network simulation tool.