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Obstacle avoidance with ultrasonic sensors

Obstacle avoidance with ultrasonic sensors,10.1109/56.2085,IEEE Journal on Robotics and Automation,JOHANN BORENSTEIN,YORAM KOREN

Obstacle avoidance with ultrasonic sensors   (Citations: 147)
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A mobile robot system, capable of performing various tasks for the physically disabled, has been developed. To avoid collision with unexpected obstacles, the mobile robot uses ultrasonic range finders for detection and mapping. The obstacle avoidance strategy used for this robot is described. Since this strategy depends heavily on the performance of the ultrasonic range finders, these sensors and the effect of their limitations on the obstacle avoidance algorithm are discussed in detail
Journal: IEEE Journal on Robotics and Automation , vol. 4, no. 2, pp. 213-218, 1988
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    • ...In this direction, methods have been investigated such as those based on edge detection, potential field and impedance control [1][2][3]...

    Youcef Touatiet al. An embedded control architecture for smart wheelchair navigation via w...

    • ...An ultrasonic sensor uses the method of time of flight to measure the distance from the ultrasonic probe to obstacle [1], and an infrared range sensor uses the triangulation principle to measure the distance between the infrared range sensor and obstacle [2]...

    Yuming Lianget al. Behavior-based Fuzzy Control for Indoor Cleaning Robot Obstacle Avoida...

    • ...On the contrary, the geometry space methods (Artificial potential field [7, 9, 14], Agoraphilic algorithm [5], Vector field histogram [2, 17], Nearness diagram [10], Vertical edge detection algorithm [1]) are the method that gives the robot the heading angle for avoiding the obstacle by using the geometric relation such as the force field of the obstacle, the polar histogram of the obstacle distribution, and the situated-activity paradigm...

    Jinpyo Hong. A new mobile robot navigation using a turning point searching algorith...

    • ...second kind of path planning, currently, there are various guidance methods, including the virtual force field method [9] , the edge detection method [10] , the wall following method [11] , the fuzzy reasoning, the neural network approach, and the genetic approach [12−16] ,e tc. There are...

    Ting-Kai Wanget al. Path planning approach in unknown environment

    • ...Other notable results include an interactive multiple model algorithm [6], a three-layer control architecture (deliberative, sequencing, reflexive) [7], a collision-free motion coordination for multiple heterogeneous robots [8], a predictive navigation approach with nonholonomic and minimum turning radius constraints [9], a time-varying feedback control via the chained form [10], and others [11-14]...

    T. T. Quyen Buiet al. Sonar-based obstacle avoidance using region partition scheme

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