孙月, 刘景泰. 基于RGB-D传感器的室内服务机器人舒适跟随方法[J]. 机器人, 2019, 41(6): 823-833. DOI: 10.13973/j.cnki.robot.180717
引用本文: 孙月, 刘景泰. 基于RGB-D传感器的室内服务机器人舒适跟随方法[J]. 机器人, 2019, 41(6): 823-833. DOI: 10.13973/j.cnki.robot.180717
SUN Yue, LIU Jingtai. RGB-D Sensor Based Human Comfortable Following Behavior for Service Robots in Indoor Environments[J]. ROBOT, 2019, 41(6): 823-833. DOI: 10.13973/j.cnki.robot.180717
Citation: SUN Yue, LIU Jingtai. RGB-D Sensor Based Human Comfortable Following Behavior for Service Robots in Indoor Environments[J]. ROBOT, 2019, 41(6): 823-833. DOI: 10.13973/j.cnki.robot.180717

基于RGB-D传感器的室内服务机器人舒适跟随方法

RGB-D Sensor Based Human Comfortable Following Behavior for Service Robots in Indoor Environments

  • 摘要: 合人类行为和社会互动相关科学研究,提出了一种考虑人类舒适感受的服务机器人跟随方法,以实现更为友好有效且具有较高接受程度的跟随行为.依靠具有高可靠性和低成本特性的~RGB-D(RGB-depth)传感器,研究了基于~HOG(方向梯度直方图)的人体目标检测算法和基于~UKF(无损卡尔曼滤波器)的人体目标跟踪算法,实现了在动态非结构环境下对人体目标实时准确的检测和跟踪.在讨论跟随舒适性影响因素的基础上,建立了舒适跟随模型和行为效用函数,实现了基于舒适性的运动控制和规划.对所提出的机器人舒适跟随方法进行了系统性的实验分析和评价,从而对跟随行为的有效性和可用性进行验证,也进一步为人与机器人之间的友好交互提供了可能.

     

    Abstract: Combining the scientific research related to human behavior and social interaction, a human following method is proposed in consideration of human comfort feelings for service robots to achieve a more friendly and effective following behavior with a high degree of acceptance. With high-reliability and low-cost RGB-D (RGB-depth) sensor, a people detection algorithm based on HOG (histogram of oriented gradient) and a people tracking algorithm based on UKF (unscented Kalman filter) are studied, and real-time and accurate detection and tracking of human are realized in dynamic unstructured environment. On the basis of discussing the factors that affect the following comfort, a comfortable following model and a behavior utility function are established, and the motion control and planning based on human comfort are realized. Systematic analysis and evaluation on the proposed human comfort following method are carried out, which verifies the validity and usability of the following behavior, and further provides the possibility of friendly interaction between the human and the robot.

     

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