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Survey and Planning of High-Payload Human-Robot Collaboration: Multi-modal Communication Based on Sensor Fusion

机译:高负荷人机协作的调查和规划:基于传感器融合的多模式通信

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Human-Robot Collaboration (HRC) has gained increased attention with the widespread commissioning and usage of collaborative robots. However, recent studies show that the fenceless collaborative robots are not as harmless as they look like. In addition, collaborative robots usually have a very limited payload (up to 12 kg), which is not satisfactory for most of the industrial applications. To use high-payload industrial robots in HRC. today's safety systems has only one option, limiting speeds of robot motion execution and redundant systems for supervision of forces. The reduction of execution speed, reduces efficiency, which limits more widespread of automation. To overcome this limitation, in this paper, we propose novel sensor fusion of different safety related sensors and combine these in a way that they ensure safety, while the human operator can focus on task execution and communicate with the system in a natural way. Different communication channels are explored (multi-modal) and demonstration scenarios are presented.
机译:随着协作式机器人的广泛调试和使用,人机协作(HRC)得到了越来越多的关注。但是,最近的研究表明,无围墙协作机器人并没有看上去那么无害。另外,协作机器人通常具有非常有限的有效载荷(最多12千克),这对于大多数工业应用而言并不令人满意。在HRC中使用高负载工业机器人。当今的安全系统只有一种选择,即限制机器人运动的执行速度和用于监视力的冗余系统。执行速度的降低,效率的降低,限制了自动化的普及。为了克服此限制,在本文中,我们提出了将不同安全相关传感器进行新颖的传感器融合,并以确保安全的方式将它们组合在一起,而操作员则可以专注于任务执行并以自然方式与系统通信。探索了不同的沟通渠道(多模式),并展示了演示场景。

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