Ready—Aim—Fly! Hands-Free Face-Based HRI for 3D Trajectory Control of UAVs

Jake Bruce, Jacob M. Perron, R. Vaughan
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引用次数: 10

Abstract

We present a novel user interface for aiming andlaunching flying robots on user-defined trajectories. The methodrequires no user instrumentation and is easy to learn by analogyto a slingshot. With a few minutes of practice users can sendrobots along a desired 3D trajectory and place them in 3D space, including at high altitude and beyond line-of-sight. With the robot hovering in front of the user, the robot tracksthe user's face to estimate its relative pose. The azimuth, elevationand distance of this pose control the parameters of the robot'ssubsequent trajectory. The user triggers the robot to fly thetrajectory by making a distinct pre-trained facial expression. Wepropose three different trajectory types for different applications:straight-line, parabola, and circling. We also describe a simple training/startup interaction to selecta trajectory type and train the aiming and triggering faces. Inreal-world experiments we demonstrate and evaluate the method. We also show that the face-recognition system is resistant to inputfrom unauthorized users.
Ready-Aim-Fly !基于免提人脸的无人机三维轨迹控制HRI
我们提出了一种新的用户界面,用于瞄准和发射自定义轨迹的飞行机器人。该方法不需要用户仪表,并且很容易通过类比弹弓来学习。只需几分钟的练习,用户就可以沿着所需的3D轨迹发送机器人,并将它们放置在3D空间中,包括高空和视线之外。当机器人在用户面前盘旋时,机器人会跟踪用户的面部来估计其相对姿势。该姿态的方位角、高度和距离控制着机器人后续轨迹的参数。用户通过做出一个独特的预先训练过的面部表情来触发机器人飞行轨迹。针对不同的应用,我们提出了三种不同的轨迹类型:直线、抛物线和盘旋。我们还描述了一个简单的训练/启动交互,以选择轨迹类型并训练瞄准和触发面。在实际实验中,我们对该方法进行了验证和评价。我们还表明,人脸识别系统对未经授权的用户的输入具有抵抗力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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