Design and Development of an Obstacle Avoidance Mobile-controlled Robot

Anh, Phung Quang; Chung, Tran Duc; Tuan, Tran Dinh; Khan, Mohamed K.

doi:10.1109/scored.2019.8896296

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…Another similar approach has been designed and developed by [24] to perform mobile-controlled robot with obstacle detection and avoidance system. The hardware system used is almost identical to the study in article [23].…”

Section: Figure 9 Mpu-6050 Attach To the Glove Done By [20]mentioning

confidence: 99%

“…The difference is that their ultrasonic sensor is mounted on a servo motor that will perform left and right oscillation to check for obstacle at the side of the robot. The model created by [24] can be seen in Figure 12. By utilising this method, it only required a single unit of ultrasonic sensor to perform the obstacle detection system with wider angle of detection.…”

Section: Figure 9 Mpu-6050 Attach To the Glove Done By [20]mentioning

confidence: 99%

“…According to the project done by [25], they implemented the control of the Arduino based robotic car by using the Wi-Fi technology of the NodeMCU. The interaction between the MCU and application is similar to the study of [23] and [24], but it utilises Wi-Fi technology rather than Bluetooth, which provides a more reliable and faster transmission of data between hardware and is also compatible with more types of devices. The obstacle detection system of their design is based on an ultrasonic sensor that will react to the distance measured, and stop the operation of the car if the measured distance is over the threshold limit, and send a notification to the user smartphone application to have real-time control with a camera to perform real-time monitoring.…”

Section: Figure 9 Mpu-6050 Attach To the Glove Done By [20]mentioning

confidence: 99%

See 2 more Smart Citations

A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Ang,

Min

2024

IJORAS

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Obstacle detection system is a system that reacts to the object in the path and perform action such as stopping robot movement and collision prevention according to the design of algorithm which enhance the safety level of robot. This paper examines the overview of sensor technology that associates with obstacle detection system and car-like robot. This review summarizes the effectiveness and weakness of common type of sensors such as lidar, radar, ultrasonic sensor, infrared sensor, computer vision, sensor fusion and sensor array. This paper will also discuss on control methods for car-like robot that includes hand gestures, voice control, infrared remote control, Android based Bluetooth mobile control, and Wi-Fi based mobile control, outlining the effectiveness and limitation of each control method.

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Section: Figure 9 Mpu-6050 Attach To the Glove Done By [20]mentioning

confidence: 99%

Section: Figure 9 Mpu-6050 Attach To the Glove Done By [20]mentioning

confidence: 99%

Section: Figure 9 Mpu-6050 Attach To the Glove Done By [20]mentioning

confidence: 99%

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A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Ang,

Min

2024

IJORAS

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“…Many researchers come with the solution by using the various type of control and instrumentation system. Researchers have implemented positioning [11][12][13][14][15] and avoidance obstacle [16][17][18][19] methods to plan the path of the autonomous robot.…”

Section: Related Workmentioning

confidence: 99%

Design of Sub-Systems for GPS-Guided Autonomous Delivery Robot System

Basri¹,

Sahrir²

2022

Elektrika

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The use of autonomous robots for delivery services is a new potential goldmine. Furthermore, since the e-commerce and delivery industry are growing at a rapid rate, it is recommended that a system that could handle the high-volume traffic as well serve as a new customer attraction, be implemented. Therefore, this work aims to develop the Autonomous Delivery Robot System (ADRS) that could be utilized for delivery services. The ADRS uses the Arduino microcontroller to run a program. The developed system consists of three main components (sub-systems), namely, mobile robot, cloud server and mobile application. The mobile robot is equipped with a tracking and an obstacle detection system to maneuver it autonomously. The ultrasonic sensors are used for obstacle detection, coupled with a Global Positioning System (GPS) to enable it deliver packages to customers in a typical outdoor environment. The ADRS ensures a human-contactless and secure delivery by using a password protected container to carry the delivery packages. Only the customer can unlock the container using the provided password via mobile application. The mobile application with customized map based on Google Maps is created to provide the user with an interactive interface. A camera is also attached on the robot for real-time monitoring purpose. The performance of the ADRS has been evaluated to determine the functionality of the developed system.

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