Recently the contemporary robotic systems can manipulate different objects and make decisions in a range of situations due to significant advances in innovation technologies and artificial intelligence. The new expert technologies can handle millions of instructions on computers and smartphones, which allow them to be used as a tool to create “decision-making systems” for autonomous robots. The goal of this paper was to create a dynamic algorithm of robot actions that can be used in the decision module has been considered. It is proposed to use Mivar expert systems of a new generation for high-level control. The experiment results showed that Mivar decision-making systems can control groups of small robots and even an unmanned autonomous car in real time. The algorithms created in the Mivar environment can be very flexible, and their build-up depends only on engineering approaches. In addition to traditional low-level robot control systems, a Mivar decision-making system has been implemented, which can be considered as universal “Brains” for autonomous intelligent robots and now knowledge bases can be created and various robots can be trained for practical tasks.

最近，由于创新技术和人工智能的重大进步，当代机器人系统可以操纵不同的对象并在各种情况下做出决策。新的专家技术可以处理计算机和智能手机上的数百万条指令，这使它们可以用作为自主机器人创建“决策系统”的工具。本文的目标是创建一种可用于决策模块的机器人动作动态算法。建议使用新一代 Mivar 专家系统进行高级控制。实验结果表明，Mivar 决策系统可以实时控制成组的小型机器人，甚至是无人驾驶的自动驾驶汽车。在 Mivar 环境中创建的算法可以非常灵活，它们的构建仅取决于工程方法。除了传统的低级机器人控制系统，还实现了一个 Mivar 决策系统，它可以被认为是自主智能机器人的通用“大脑”，现在可以创建知识库，可以训练各种机器人执行实际任务.