Review of Wheeled Mobile Robots’ Navigation Problems and Application Prospects in Agriculture

Gao, Xinyu; Li, Jinhai; Fan, Lifeng; Zhou, Qiao; Yin, Kaimin; Wang, Jianxu; Song, Chao; Huang, Lan

doi:10.1109/access.2018.2868848

Cited by 123 publications

(74 citation statements)

References 96 publications

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“…The modern agricultural equipment led by agricultural robots developed later can largely solve the above problems. Therefore, the system design of this project is suitable for advanced equipment for orchard operations [2,3]. strong robustness by using Proportion Integration Differentiation (PID) [38], fuzzy control [39] or sliding mode control [40], but due to the lack of positioning accuracy, the navigation control accuracy will be seriously affected.…”

Section: Introductionmentioning

confidence: 99%

Research on 2D Laser Automatic Navigation Control for Standardized Orchard

et al. 2020

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With the increase of labor cost and the development of agricultural mechanization, standardized orchards suitable for autonomous operations of agricultural machinery will be a future development trend of the fruit-planting industry. For field-planting processes of standardized orchards, autonomous navigation of orchard vehicles in complex environments is the foundation of mechanized and intelligent field operations. In order to realize autonomous driving and path-tracking of vehicles in complex standardized orchards that involve much noise and interference between rows of fruit trees, an automatic navigation system was designed for orchard vehicles, based on 2D lasers. First, considering the agronomic requirements for orchard planting such as plant spacing, row spacing and trunk diameter, different filtering thresholds were established to eliminate discrete points of 2D laser point cloud data effectively. Euclidean clustering algorithm and the important geometric theorems of three points collinearity was used to extract the central feature points of the trunk, as the same time, navigation path was fitted based on the least square method. Secondly, an automatic navigation control algorithm was designed, and the fuzzy control was used to realize the dynamic adjustment of the apparent distance of the pure pursuit model. Finally, the reliability of the proposed approach was verified by simulation using MATLAB/Simulink, and field tests were carried out based on electric agricultural vehicle. Experimental results show that the method proposed in this study can effectively improve the precision of automatic navigation in complex orchard environment and realize the autonomous operation of orchard vehicles.

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Section: Introductionmentioning

confidence: 99%

Research on 2D Laser Automatic Navigation Control for Standardized Orchard

et al. 2020

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“…These capabilities are important in robot vision-based navigation because robots need to acquire images of their environment, process them, and make decisions to navigate through a scenario [ 16 , 17 ]. In the case of robots that are not capable of performing complex and realistic tasks such as image processing, these images can be acquired with a camera and sent to a server for processing.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Vision-Based Navigation System for Khepera IV Mobile Robots

Farías

Fábregas

Torres

et al. 2020

Sensors

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This work presents the development and implementation of a distributed navigation system based on object recognition algorithms. The main goal is to introduce advanced algorithms for image processing and artificial intelligence techniques for teaching control of mobile robots. The autonomous system consists of a wheeled mobile robot with an integrated color camera. The robot navigates through a laboratory scenario where the track and several traffic signals must be detected and recognized by using the images acquired with its on-board camera. The images are sent to a computer server that performs a computer vision algorithm to recognize the objects. The computer calculates the corresponding speeds of the robot according to the object detected. The speeds are sent back to the robot, which acts to carry out the corresponding manoeuvre. Three different algorithms have been tested in simulation and a practical mobile robot laboratory. The results show an average of 84% success rate for object recognition in experiments with the real mobile robot platform.

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“…Robot is a machine in which capable to carry a simple task to a complex series action in automatically and simultaneously. Thus, robot technology is used in many fields such as agriculture for weed controlling, plucking and others [1][2][3][4], medicine with human interaction [5][6][7], manufacturing [8,9] and others. Based on these studies, robot can make the task easier and reduce the human power in different fields.…”

Section: Introductionmentioning

confidence: 99%

Development of wireless vertical bar spinner combat robot

Sadun

Jalani

Ahmad

et al. 2020

IJEECS

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Recently, combat robot competition has become one of the most famous engineering competitions among schools and universities. The robots are usually built with a destructive weapon, which can immobilize or disable opponent’s robot and win the match. Despite the variety of robot design and concept, the trend has shown that most of the local contestant tend to design a horizontal axis weapon type. In this project, a wireless vertical axis bar spinner combat robot is designed and developed for the 3rd Malaysia Combat Robot Competition which was held at National Science Centre (PSN) in 2017. The robot is controlled using radio control (RC) and powered by a highly discharge 22.2V Lithium Polymer (LiPo) chemical battery. Furthermore, related analysis has been conducted to meet the design and performance requirement of the competition. With the DC brush motor and thick metal bar rotating in vertical axis, the robot has proven to produce high power, torque and speed during the competition.

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Review of Wheeled Mobile Robots’ Navigation Problems and Application Prospects in Agriculture

Cited by 123 publications

References 96 publications

Research on 2D Laser Automatic Navigation Control for Standardized Orchard

Research on 2D Laser Automatic Navigation Control for Standardized Orchard

A Distributed Vision-Based Navigation System for Khepera IV Mobile Robots

Development of wireless vertical bar spinner combat robot

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