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BRAIN COMPUTER INTERFACE ROBOTIC CO-WORKERS: DEFECTIVE PART PICKING SYSTEM

机译:脑计算机界面机器人工:缺陷零件拣选系统

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摘要

Industrial robotic co-workers are robots that can work with human being in an unstructured environment. Such robots, must be able to assist human operators in a seamless way without receiving specific instructions. Robotic co-workers can open entirely new application fields in manufacturing as demonstrated in this paper. We designed such an industrial co-robot to pick up defective parts by simply monitoring a human operator directly through a brain computer interface (BCI). By constantly monitoring the operator using BCI sensors, the robotic co-worker can sense when an operator notices a defective part and then moves to remove the part from a moving conveyor with no direct instruction from the operator. The robot, equipped with an RGB camera, recognizes the part, tracks the position and generates accurate motion plan. We demonstrated the system using a human subject study.
机译:工业机器人同事是可以在非结构化环境中与人类一起工作的机器人。这样的机器人必须能够在不接收特定指令的情况下以无缝方式协助人类操作员。机器人同事可以在制造业中打开全新的应用领域,如本文所述。我们设计了这样的工业机器人,通过直接通过大脑计算机接口(BCI)监视操作员来拾取有缺陷的零件。通过使用BCI传感器不断监视操作员,机器人同事可以感应到操作员何时注意到有缺陷的零件,然后在没有操作员直接指示的情况下从移动的传送带上卸下零件。配备RGB摄像头的机器人可以识别零件,跟踪位置并生成准确的运动计划。我们使用人类主题研究演示了该系统。

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