Gesture-based control of tele-opearated robot for remote operation in unstructured environment

Md Zainul, Muhammad Amiruddin (2021) Gesture-based control of tele-opearated robot for remote operation in unstructured environment. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowdays, the gesture control use in small number in the world where it can control by the wireless control and easy to control the receiver in far distance from the transmitter. The gesture control is more friendly and natural when using it with the flexible control interfaces. The less gesture control is the main reason the report is written. This research also has studied the previous literature to help in understanding the development of gesture-based control. This report has three objectives which is first, design the system of the gesture-based control of tele-operated robot by using human hand gesture. Second, develop the system that fast response to the signal to control the robot in real-time gesture. Third, evaluate the performance of the accuracy and precision of the response time of the signal gesture-based control of the robot by using the hand gesture. For the hand gesture data glove prototype has been used Arduino Nano, accelerometer sensor, Bluetooth module, and tilt sensors while for the mobile robot unit use the Arduino Nano, ultrasonic sensor, motor driver (L293D), DC motor and Bluetooth module. The data glove prototype monitors the movement of hand and fingers and transmits the signal to the mobile robot unit. The hand data glove unit hardware is for control the action of mobile robot. The unit will get power supply from battery source. The experiment was running from different distance of mobile robot from the data glove. The accuracy and the precision are calculated based on the distance and the response time of mobile robot when get signal from data glove. The highest accuracy of 92.55% for 2 meters while the lowest accuracy of 72.30% for 10 meters of distance of mobile robot to the data glove. The hand data glove recognition will improve with other algorithms in analysing the sensor output data.

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