Developing visual competencies for socially assistive robots: the HOBBIT approach

K. Papoutsakis, Pashalis Padeleris, A. Ntelidakis, S. Stefanou, Xenophon Zabulis, D. Kosmopoulos, Antonis A. Argyros
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引用次数: 13

Abstract

In this paper, we present our approach towards developing visual competencies for socially assistive robots within the framework of the HOBBIT project. We show how we integrated several vision modules using a layered architectural scheme. Our goal is to endow the mobile robot with visual perception capabilities so that it can interact with the users. We present the key modules of independent motion detection, object detection, body localization, person tracking, head pose estimation and action recognition and we explain how they serve the goal of natural integration of robots in social environments.
发展社会辅助机器人的视觉能力:霍比特人方法
在本文中,我们提出了在HOBBIT项目框架内开发社交辅助机器人视觉能力的方法。我们将展示如何使用分层的体系结构方案集成几个视觉模块。我们的目标是赋予移动机器人视觉感知能力,使其能够与用户进行交互。我们介绍了独立运动检测、目标检测、身体定位、人跟踪、头部姿势估计和动作识别等关键模块,并解释了它们如何服务于机器人在社交环境中的自然整合目标。
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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