Multipurpose GPS Guided Autonomous Mobile Robot

Ningombam, Dhruba; Singh, Abhishek; Chanu, Kshetrimayum Thoithoi

doi:10.1007/978-981-10-6875-1_35

Cited by 3 publications

(2 citation statements)

References 5 publications

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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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Section: Related Workmentioning

confidence: 99%

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

Basri¹,

Sahrir²

2022

Elektrika

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“…At present, agricultural machinery in precision agriculture mainly uses satellite navigation systems such as Beidou and GPS for navigation and positioning (Dhruba et al, 2018). However, the use of satellite navigation will face problems such as high equipment prices and unstable systems (Sevilla et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Navigation for Wheat Seedling Root Cutting Based on Deep Learning

LIN,

XU,

2023

INMATEH

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In response to the automatic extraction of navigation lines for wheat root cutting, this paper conducted field experiments and analyses on the navigation line extraction algorithm, based on the improved YOLOv5 algorithm. Firstly, based on the characteristics of wheat seedling rows during the wheat rejuvenation period, the YOLOv5 algorithm was improved by using rotation detection box labels, and navigation lines were extracted by fitting the detection boxes using clustering methods. Then, an experimental system was established to conduct field experiments on the algorithm: (1) Tests were conducted at three speeds of 0.5 m/s, 1.0 m/s and 1.5 m/s respectively, and the position error of the root cutter was measured and analyzed, indicating that the actual navigation path position error increased with the speed. The best navigation performance was observed at 1 m/s, with an average positional error of 18.56 mm, meeting the requirements for wheat root cutting. (2) Robustness analysis of the algorithm was conducted using data collected from 2019 to 2022. Comparative tests were conducted from four aspects: different years, different time periods, different environments, and different yaw angles. The results showed that the algorithm proposed in this paper has stronger robustness and higher accuracy.

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