Collaborative Decision-Making Models for Flexible Manufacturing Robotic System

O. Tsymbal, Artem Bronnikov
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Abstract

The proposed paper analyses the modern approaches to collaborative robotics. There is proposed a new model of collaborative decision-making, based on predicate logics. The developed models use descriptions for group of robots, for workspace objects (monitored by distributed computer vision system), for problem-solving procedures, goals, specifications of robots and their sensor systems. While decision-making engine for single robot includes the problem- solver and operator schemes for actions, the decision-making for two robots will be defined by decision-making possibilities of each robot and role of robot in group. Here, the behavior of robot in a group will depend on technical specifications and ability to execute tasks of robotic team, of subordination and relations inside group, of workspace states specifications. Execution of tasks inside workspace of Flexible Manufacturing System is monitored by distributed computer vision system, which supplies additional feedbacks in general control system. Collaboration Decision-making Model is implemented by problem-solving software.
柔性制造机器人系统协同决策模型
本文分析了协作机器人的现代方法。提出了一种基于谓词逻辑的协同决策模型。所开发的模型使用了对机器人组、工作空间对象(由分布式计算机视觉系统监控)、解决问题的过程、目标、机器人及其传感器系统的规格的描述。单个机器人的决策引擎包括问题求解器和操作者的动作方案,而两个机器人的决策引擎将由每个机器人的决策可能性和机器人在群体中的角色来定义。在这里,机器人在群体中的行为将取决于机器人团队的技术规范和执行任务的能力,群体内部的从属关系和关系,工作空间状态规范。利用分布式计算机视觉系统对柔性制造系统工作空间内的任务执行情况进行监控,并为一般控制系统提供附加反馈。协作决策模型由问题解决软件实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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