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A natural assisted navigation motion for telepresence robots

机译:智真机器人的自然辅助导航动作

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Recently, the control of telepresence robots is still a challenge for researchers. In this paper, we propose a method to realize a more natural assisted navigation for telepresence robots during teleoperation. Different from existing approaches, the proposed method utilizes an omni-directional chassis which is realized by a three wheels drive (3WD) mechanism. Without using any expensive 3D sensing equipments, our proposed method is realized by using only low cost ultrasonic sensors. To increase the sensing frequency, we propose a new sensing method for the ultrasonic sensors. To generate the avoidance motions, Potential Field (PF) method is applied. Different from conventional approach, obstacle avoidance motions are realized naturally through linear translations. With this method, the robot's orientation can be maintained which improves user experience and allows a more user-friendly teleoperation. To evaluate the proposed method, it has been implemented on our previous developed telepresence robot, called `T-robot'. Results show that the PF method helps reduce the teleoperated time with no collisions and user intervention. Also, a more natural movement and user friendly control is achieved.
机译:最近,对看机器人的控制仍然是研究人员的挑战。在本文中,我们提出了一种方法来实现在遥远的遥感机器人中更加自然的辅助导航。与现有方法不同,所提出的方法利用由三个轮子驱动器(3WD)机构实现的全方位底盘。不使用任何昂贵的3D传感设备,我们所提出的方法仅使用低成本的超声传感器来实现。为了增加感测频率,我们提出了一种用于超声波传感器的新型传感方法。为了产生避免运动,应用潜在的场(PF)方法。与传统方法不同,通过线性翻译自然地实现避免避免运动。利用这种方法,可以维持机器人的方向,这改善了用户体验并允许更用户友好的远程操作。为了评估所提出的方法,它已在我们以前的发达的远程机器人上实施,称为“T-Robot”。结果表明,PF方法有助于减少无碰撞和用户干预的远程处理时间。此外,实现了更自然的运动和用户友好控制。

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