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Design of Obstacle avoidance and Tracking Robot

机译:避障和跟踪机器人的设计

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摘要

Nowadays, there are still no better solutions to the problems of multi-sensor information fusion and multi-behavior conflicts on intelligent tracking robot, which can not correctly recognize complex obstacles like U shape, furthermore, intelligently select the best obstacle-avoidance path. This design takes AT89S52 as the MCU of the wheel robot. Infrared sensor and ultrasonic transducer are used to collect environmental information around. Priority resolving and fuzzy behavior fusion are integrated to process the multi-sensor information and control the running states of wheel robot. By using the designed method, the robot can properly handle the different behaviors and behavior conflicts in its tracking progress. Also, more accurate sign information can be identified, and more complex obstacles like U shape can be avoided quickly and accurately by following the best path. The application result on the wheel robot verifies the efficiency of proposed method.
机译:如今,智能跟踪机器人的多传感器信息融合和多种行为冲突的问题仍然没有更好的解决方案,这无法正确识别U形状的复杂障碍,此外,智能地选择最佳障碍避免路径。 这种设计需要89S52作为车轮机器人的MCU。 红外传感器和超声波换能器用于收集环境信息。 优先分辨和模糊行为融合被集成以处理多传感器信息并控制轮车机器人的运行状态。 通过使用设计的方法,机器人可以正确处理其跟踪进度的不同行为和行为冲突。 此外,可以通过遵循最佳路径快速且准确地避免更准确的标志信息,并且可以通过遵循最佳路径来快速准确地避免更复杂的障碍物。 车轮机器人的应用结果验证了所提出的方法的效率。

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