基于声纳的移动机器人速度控制,同时确定感知和行动策略

T. Emaru, K. Tanaka, T. Tsuchiya
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引用次数: 3

摘要

今天,超声波TOF(飞行时间)测距系统是室内移动机器人系统中最常见的传感系统,主要是由于低成本系统的容易获得,它们的体积小,电路简单,并且易于与计算机接口。TOF测距系统测量发射能量脉冲到达反射物体然后返回接收器所需的往返时间。然而,超声TOF测距系统往往忽略了阈值水平以下的无穷小反射波。我们提出了一种利用无穷小反射波的新方法,即对反射波进行积分。该系统采用带扫描系统的换能器来实现,在无法精确测量距离的环境中,可以很好地获得机器人的可行走区域。该系统结构简单,提高了声呐的实用价值。介绍了传感器信息不确定情况下的速度控制策略。考虑到传感器信息的不确定性,我们改变了行动策略。通过改变动作策略,机器人获取的传感器信息也随之改变。利用这一关系,构造了鲁棒机器人系统。将该方法应用于多障碍物、大厅末端等环境下的自主移动机器人,验证了该方法的有效性。
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Speed control of a sonar-based mobile robot determining sensing and action strategy simultaneously
Today, the ultrasonic TOF (time-of-flight) ranging system is the most common sensing system employed in indoor mobile robotic systems, primarily due to the easy availability of low-cost systems, their compact size, simple circuits, and their ease in interfacing with computers. TOF ranging systems measure the round-trip time required for a pulse of emitted energy to travel to a reflecting object and then echo back to a receiver. However, ultrasonic TOF ranging systems tend to neglect infinitesimal reflected waves below the threshold level. We have proposed a new approach to utilize the infinitesimal reflected waves by integrating the reflected waves. This is implemented using a transducer with a scanning system, and has a great ability of obtaining the travelable area for a robot in environments in which the distance cannot be precisely measured. The proposed system is constructed in a simple manner so as to improve the utility value of the sonar. This paper introduces the speed control strategy under uncertainty of sensor information. By considering the uncertainty of sensor information, we change the action strategy. By changing the action strategy, sensor information which is obtained by the robot changes at the same time. By using this relationship, we construct the robust robot system. The validity of the proposed method is investigated by applying this method to an autonomous mobile robot in various environments such as one with multiple obstacles, at the end of the hall, and so on.
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