Technology is progressively reshaping the domestic environment as we know it, enhancing home security and the overall ambient quality through smart connected devices. However, demographic shift and pandemics recently demonstrate to cause isolation of elderly people in their houses, generating the need for a reliable assistive figure. Robotic assistants are the new frontier of innovation for domestic welfare. Elderly monitoring is only one of the possible service applications an intelligent robotic platform can handle for collective wellbeing. In this paper, we present Marvin, a novel assistive robot we developed with a modular layer-based architecture, merging a flexible mechanical design with state-of-the-art Artificial Intelligence for perception and vocal control. With respect to previous works on robotic assistants, we propose an omnidirectional platform provided with four mecanum wheels, which enable autonomous navigation in conjunction with efficient obstacle avoidance in cluttered environments. Moreover, we design a controllable positioning device to extend the visual range of sensors and to improve the access to the user interface for telepresence and connectivity. Lightweight deep learning solutions for visual perception, person pose classification and vocal command completely run on the embedded hardware of the robot, avoiding privacy issues arising from private data collection on cloud services.
翻译:我们所知道的技术正在逐步改变国内环境,通过智能连接装置加强家庭安全和总体环境质量。然而,人口变化和流行病最近表明老年人在家中被孤立,从而导致需要可靠的辅助数字。机器人助理是家庭福利创新的新前沿。老年人监测只是一个可能的服务应用之一,一个智能机器人平台可以用来促进集体福祉。在本文中,我们向马文介绍一个我们开发的新型辅助机器人,一个基于模块层结构的辅助机器人,将一个灵活的机械设计与最先进的人工智能结合起来,用于感知和声控。关于以前机器人助理的工程,我们提议一个全向平台,提供四轮米卡尼轮,使自主导航与在封闭环境中有效避免障碍相结合。此外,我们设计一个可控定位装置,以扩大感应器的视觉范围,并改进远程感应和连通性用户界面的接入。视觉感知、个人配置分类和声控完全运行机器人嵌入硬件的深层次学习解决方案,避免私人云层数据收集产生的隐私问题。