基于知识的工业机器人

Maj Stenmark, J. Malec
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引用次数: 27

摘要

当机器人在动态环境中工作,接近缺乏广泛机器人知识的人类时,就迫切需要简化用户交互并使系统尽可能自主地执行。对于制造业中与人类并肩工作的工业机器人来说,需要人工智能系统来降低对编程时间和专业知识的要求。我们相信,只有建立一个具有适当的知识和推理服务的系统,我们才能充分简化机器人的编程,以满足这些需求,并仍然获得鲁棒性和高效的任务执行。在本文中,我们提出了一个我们已经实现的系统,旨在满足上述需求。本文重点介绍了我们为机器人设备和制造任务创建的本体,并提供了使用技能的语义描述来帮助用户充分指导机器人的人工智能相关服务的示例。(少)
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Knowledge-Based Industrial Robotics
When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and expertise. We are convinced that only by building a system with appropriate knowledge and reasoning services, we can simplify the robot programming sufficiently to meet those demands and still get a robust and efficient task execution. In this paper, we present a system we have realized that aims at fulfilling the above demands. The paper focuses on the ontologies we have created for robotic devices and manufacturing tasks, and presents examples of AI-related services using the semantic descriptions of the skills to help the user instruct the robot adequately. (Less)
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