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A Novel Robot Teaching System Based on Mixed Reality

机译:基于混合现实的新型机器人教学系统

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In this paper, we have developed a robot teaching system where the robot learns the point-to-point motions from human demonstrations. In the demonstration phase, the operator's gestures and palm position are used to guide the robot to complete the task. At the same time, the scene of robots and its work environment, and the virtual model of the palms are integrated into Unity. Then the mixed reality scene is transferred to a virtual reality(VR) helmet, which provides operator real-time visual feedback. In the learning and reproduction phase, the Extreme Learning Machine(ELM) is used to generate a new trajectory from the training data. The experimental result shows that the robot teaching system based on mixed reality has more realistic and natural interaction. And the learning algorithm based on ELM has a good fitting ability.
机译:在本文中,我们开发了一种机器人教学系统,该机器人可以从人类演示中学习点对点运动。在演示阶段,操作员的手势和手掌位置用于引导机器人完成任务。同时,机器人的场景及其工作环境以及手掌的虚拟模型已集成到Unity中。然后将混合现实场景转移到虚拟现实(VR)头盔中,该头盔可为操作员提供实时视觉反馈。在学习和再现阶段,极限学习机(ELM)用于从训练数据生成新轨迹。实验结果表明,基于混合现实的机器人教学系统具有更真实,自然的交互作用。并且基于ELM的学习算法具有良好的拟合能力。

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