Abstract
This study applies smartphone, Bluetooth, and Wi-Fi wireless network to control a wheeled mobile robot (WMR) remotely. The first part of this study demonstrates that the WMR can be controlled manually by a smartphone. The smartphone can remotely control the WMR for forward, backward, left-turn, and right-turn operations. The second part of this article presents object tracking. The WMR can follow a moving object through the use of image processing for object tracking and distance detection. In the third part, infrared sensor and fuzzy system algorithms are integrated into the control scheme. Through wall-following and obstacle-avoidance control, the WMR can successfully perform indoor patrol.
Highlights
Over the past few years, different types of wheeled mobile robots (WMR) have been proposed.The WMR’s advantages include high mobility, high load, and easy control
The first experiment tested in terrain as shown in personal computer (PC)‐based by a simple proportional control scheme
This study presents integration of image processing techniques, fuzzy theory, wireless communications, and smartphone to a wheeled mobile robot (WMR) for real-time moving object recognition, tracking and remote surveillance
Summary
Over the past few years, different types of wheeled mobile robots (WMR) have been proposed. The second control scheme utilizes the EYECAM camera and image processing to detect moving objects and calculate the center distance, and applies fuzzy controller to track the moving object. The WMR integrates infrared sensors to the fuzzy control system and distance detection. Other studies include the use of image processing and a cerebellar model articulation controller for path-following control [1], in addition to the laser sensor-positioning algorithm in controller design for unknown environment map building [4], automobile ultrasonic sensors [6], a localization system for path planning [7], and distance between the object and the camera [9].
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