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Macroscopic quantitative observation of multi-robot behavior

机译:宏观定量观察多机器人行为

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In observing behavior of multiple autonomous robots, a microscopic observation expressed by dynamic equations is usually used. However, it is very difficult to estimate behavior of robots or mutual interactions among them in real time. Furthermore, it is hard to realize the observed system by taking consideration in all the factors of the system. On the other hand, a macroscopic observation defined by state equations is efficient for recognizing behavior of multiple robots. In this study, a quantitative observation approach is proposed on behavior of multiple robots. This approach introduces macroscopic state quantities in thermodynamics into expression of the multiple robots system. The advantage of this approach is that observation on the behavior of autonomous robots in real world can be mapped to characteristic quantities in another conceptual state space. At first, the state quantities of multiple robots system are defined and their physical meaning is discussed regarding it as quantitative observation of multiple robots. The macroscopic state quantities in thermodynamics, such as temperature, pressure and entropy, are introduced into mobile robots system. Each mobile robot is regarded as a particle in term of thermodynamic systems. Experiments show that the states of robots system can be classified from a viewpoint of the macroscopic state quantities in thermodynamics. This verifies that the macroscopic quantitative observation is efficient and applicable to controlling multiple robots system.
机译:在观察多个自主机器人的行为时,通常使用由动态方程式表示的微观观察。但是,实时估计机器人的行为或它们之间的相互交互非常困难。此外,难以通过考虑系统的所有因素来实现所观察的系统。另一方面,由状态方程定义的宏观观察对于识别多个机器人的行为是有效的。在这项研究中,提出了一种对多个机器人行为的定量观察方法。这种方法将热力学中的宏观状态量引入到多机器人系统的表达中。这种方法的优势在于,可以将对现实世界中自主机器人行为的观察映射到另一个概念状态空间中的特征量。首先,定义了多个机器人系统的状态量,并讨论了其作为多个机器人的定量观测的物理意义。将热力学中的宏观状态量(例如温度,压力和熵)引入到移动机器人系统中。就热力学系统而言,每个移动机器人都被视为一个粒子。实验表明,从热力学的宏观状态量的角度,可以对机器人系统的状态进行分类。这证明了宏观定量观察是有效的,并且适用于控制多个机器人系统。

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