Intelligent Navigation of Indoor Robot Based on Improved DDPG Algorithm

He, Xuemei; Kuang, Yin; Song, Ning; Liu, Fan

doi:10.1155/2023/6544029

Cited by 3 publications

(1 citation statement)

References 19 publications

(19 reference statements)

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“…3 is the flowchart of the system. System stages include robot operation, trajectory mapping, data processing and movement or action of the robot [102]. The first operation on the robot is carried out by the user, namely turning on the power button.…”

Section: Methodsmentioning

confidence: 99%

Application of Odometry and Dijkstra Algorithm as Navigation and Shortest Path Determination System of Warehouse Mobile Robot

Ubaidillah,

Sukri

2023

Journal of Robotics and Control

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One of the technologies in the industrial world that utilizes robots is the delivery of goods in warehouses, especially in the goods distribution process. This is very useful, especially in terms of resource efficiency and reducing human error. The existing system in this process usually uses the line follower concept on the robot's path with a camera sensor to determine the destination location. If the line and destination are not detected by the sensor or camera, the robot's navigation system will experience an error. it can happen if the sensor is dirty or the track is faded. The aim of this research is to develop a robot navigation system for efficient goods delivery in warehouses by integrating odometry and Dijkstra's algorithm for path planning. Holonomic robot is a robot that moves freely without changing direction to produce motion with high mobility. Dijkstra's algorithm is added to the holonomic robot to obtain the fastest trajectory. by calculating the distance of the node that has not been passed from the initial position, if in the calculation the algorithm finds a shorter distance it will be stored as a new route replacing the previously recorded route. the distance traversed by the djikstra algorithm is 780 mm while a distance of 1100 mm obtains the other routes. The time for using the Djikstra method is proven to be 5.3 seconds faster than the track without the Djikstra method with the same speed. Uneven track terrain can result in a shift in the robot's position so that it can affect the travel data. The conclusion is that odometry and Dijkstra's algorithm as a planning system and finding the shortest path are very efficient for warehouse robots to deliver goods than ordinary line followers without Dijkstra, both in terms of distance and travel time.

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Section: Methodsmentioning

confidence: 99%

Application of Odometry and Dijkstra Algorithm as Navigation and Shortest Path Determination System of Warehouse Mobile Robot

Ubaidillah,

Sukri

2023

Journal of Robotics and Control

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NATLOC: Natural Language Object Localization

Garza,

Torres-Treviño

2023

Lecture Notes in Computer Science

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Autonomous Cargo Carrier Robot in GPS Denied Indoor Environment

ÜÇGÜN,

KIRBOĞA

2023

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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The mobile robot industry, which has become a rapidly growing sector, can easily perform many activities or tasks that can be dangerous, laborious or tiring for humans. A mobile robot helps people by performing the desired tasks in areas such as medical, military, household and cargo. Robots, which perform their duties indoor or outdoor environments, use navigation systems to reach the desired destination. While the global positioning system is generally used in the external environment, different navigation methods are used in the indoor environment. The accuracy of navigation is of great importance when passing through complex, narrow and obstructed roads while going to the relevant target location in the indoor environment. In this study, a cargo carrier robot that can autonomously travel to a location determined by the user in indoor conditions has been developed. After the target point is determined, the cargo vehicle takes action automatically from the starting point, and continuously detects location in order to reach the target with the compass sensor on it. Ultrasonic sensors have been used so that the cargo vehicle can continue to move without hitting any object that may come in front of it while it is going to the target location. A mobile application has been developed to give the destination location of the cargo vehicle and to follow the vehicle. The movements of the autonomous vehicle are controlled by the commands sent via Bluetooth.

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Intelligent Navigation of Indoor Robot Based on Improved DDPG Algorithm

Cited by 3 publications

References 19 publications

Application of Odometry and Dijkstra Algorithm as Navigation and Shortest Path Determination System of Warehouse Mobile Robot

Application of Odometry and Dijkstra Algorithm as Navigation and Shortest Path Determination System of Warehouse Mobile Robot

NATLOC: Natural Language Object Localization

Autonomous Cargo Carrier Robot in GPS Denied Indoor Environment

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