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Social constraints-based socially aware navigation framework for mobile service robots

机译:基于社会限制的社会意识到移动服务机器人的社会意识到导航框架

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In this paper, we propose a social timed elastic band (STEB)-based navigation framework which enables a mobile service robot to safely and socially avoid a human in dynamic social environments. The main idea of the proposed framework is to incorporate the socio-spatio-temporal characteristics of the humans including human position, motion related to the robot, and social rules into a conventional online trajectory planing algorithm. We evaluate the developed framework through a series of simulation experiments. The simulation results show that the proposed framework is fully capable of autonomously driving the mobile robot to avoid the individual humans in dynamic social environments, providing the safety and comfort for the humans and the socially acceptable behaviours for the mobile robot.
机译:在本文中,我们提出了一种社交定时弹性频带(STEB)的导航框架,其使移动服务机器人能够安全和社会避免在动态社会环境中的人类。拟议框架的主要思想是将包括人类位置,与机器人的运动的社会时空特征纳入其中,以及社会规则进入传统的在线轨迹刨算法。我们通过一系列仿真实验评估开发的框架。仿真结果表明,该框架完全能够自主地驱动移动机器人以避免动态社会环境中的个体人类,为人类提供安全性和舒适性和移动机器人的社会可接受的行为。

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