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A Directional Identification Method Based on Position and Posture of Head for an Omni-directional Mobile Wheelchair Robot

机译:基于头部位置和姿势的全向移动轮椅机器人方向识别方法

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To assist the daily life for the heavy disabled, a new intelligent wheelchair robot has been developed which has the Omni-directional movement function in authors' lab. To conduct the lift support task, the robot must firstly know the intention of users. In this paper, we focus on the research on the recognition of the directional intent of users. Therefore, a new directional identification method based on the head posture of users was proposed. A fuzzy reasoning method is proposed to predict the users' behavior intent based on the principle of Kalman Filter and spatial data fusion. The wheelchair robot also can realize Omni-directional mobile control of the intelligent wheelchair. Prototype were conducted using the proposed developed robot and the results demonstrate its feasibility and efficacy.
机译:为了协助重度残疾人士的日常生活,开发了一种新型智能轮椅机器人,该机器人在作者的实验室中具有全方位运动功能。为了执行升降支撑任务,机器人必须首先了解用户的意图。在本文中,我们专注于对用户方向意图的识别的研究。因此,提出了一种新的基于用户头部姿势的方向识别方法。提出了一种基于卡尔曼滤波原理和空间数据融合的模糊推理方法来预测用户的行为意图。轮椅机器人还可以实现智能轮椅的全方位移动控制。使用提出的开发的机器人进行原型,结果证明了其可行性和有效性。

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