Departamento de Ingeniería Eléctrica, Electrónica, Automática y Comunicaciones, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.
Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.
Sensors (Basel). 2021 Jan 29;21(3):908. doi: 10.3390/s21030908.
Unmanned aerial vehicles (UAVs) represent a new model of social robots for home care of dependent persons. In this regard, this article introduces a study on people's feeling of safety and comfort while watching the monitoring trajectory of a quadrotor dedicated to determining their condition. Three main parameters are evaluated: the relative monitoring altitude, the monitoring velocity and the shape of the monitoring path around the person (ellipsoidal or circular). For this purpose, a new trajectory generator based on a state machine, which is successfully implemented and simulated in MATLAB/Simulink, is described. The study is carried out with 37 participants using a virtual reality (VR) platform based on two modules, UAV simulator and VR Visualiser, both communicating through the MQTT protocol. The participants' preferences have been a high relative monitoring altitude, a high monitoring velocity and a circular path. These choices are a starting point for the design of trustworthy socially assistive UAVs flying in real homes.
无人飞行器 (UAV) 代表了一种用于居家护理依赖人群的新型社交机器人模式。在这方面,本文介绍了一项关于人们在观看专门用于确定其状态的四旋翼飞行器监控轨迹时的安全感和舒适度的研究。评估了三个主要参数:相对监控高度、监控速度和围绕人员的监控路径形状(椭圆形或圆形)。为此,描述了一种基于状态机的新型轨迹生成器,该生成器已成功在 MATLAB/Simulink 中实现和模拟。研究使用基于两个模块的虚拟现实 (VR) 平台进行,该平台使用 MQTT 协议进行通信,两个模块分别是无人机模拟器和 VR 可视化器。参与者更喜欢相对较高的监控高度、较高的监控速度和圆形路径。这些选择是设计在真实家庭中飞行的值得信赖的社交辅助 UAV 的起点。