Design and Simulation of a Handling Robot for Bagged Agricultural Materials

Han, Li; Chi, Ruijuan; Mao, Enrong

doi:10.1016/j.ifacol.2016.10.032

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…Han et al [48] presents planning process for handling robots, but focuses mainly to the structural aspects. Netland et al [49] deals with monorail design, presents mainly the positioning and control solutions.…”

Section: Other Devicesmentioning

confidence: 99%

Planning of Material Handling : Literature Review

Telek¹,

Cservenák²

2019

ALS

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Nowadays, there are many well proved, effective processes to solve planning tasks in the field of material handling used advanced calculations forms and software. Unfortunately, most of them are used for individual tasks, so the applicability of their results is limited. The Institute of Logistics of the University of Miskolc has been working on integrated planning of handling machines for decades, where the individual planning tasks have to be solved together in a complex process. The main aim of this paper to give an overview about the state of the art of the planning of material handling, based on a literature review of the Science Direct publication database. As a result of this research we can determine some new direction for the planning of material handling.

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Section: Other Devicesmentioning

confidence: 99%

Planning of Material Handling : Literature Review

Telek¹,

Cservenák²

2019

ALS

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“…In addition, the application of industrial developments and technology to agriculture makes production sustainable by enabling more careful farming [7]. Therefore, to date, robotic agricultural solutions have been proposed in various agricultural solutions, such as fruit harvesting [8], monitoring [9], loading and unloading of agricultural material [10], irrigation [11], fertilization [12], weed detection [13], automatic grafting [14] and sowing [15]. Most of these studies have been carried out on agricultural fields with suitable ground and structured environments using wheeled robots.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

et al. 2022

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The increasing world population makes it necessary to fight challenges such as climate change and to realize production efficiently and quickly. However, the minimum cost, maximum income, environmental pollution protection and the ability to save water and energy are all factors that should be taken into account in this process. The use of information and communication technologies (ICTs) in agriculture to meet all of these criteria serves the purpose of precision agriculture. As unmanned aerial vehicles (UAVs) can easily obtain real-time data, they have a great potential to address and optimize solutions to the problems faced by agriculture. Despite some limitations, such as the battery, load, weather conditions, etc., UAVs will be used frequently in agriculture in the future because of the valuable data that they obtain and their efficient applications. According to the known literature, UAVs have been carrying out tasks such as spraying, monitoring, yield estimation, weed detection, etc. In recent years, articles related to agricultural UAVs have been presented in journals with high impact factors. Most precision agriculture applications with UAVs occur in outdoor environments where GPS access is available, which provides more reliable control of the UAV in both manual and autonomous flights. On the other hand, there are almost no UAV-based applications in greenhouses where all-season crop production is available. This paper emphasizes this deficiency and provides a comprehensive review of the use of UAVs for agricultural tasks and highlights the importance of simultaneous localization and mapping (SLAM) for a UAV solution in the greenhouse.

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“…Different moving mechanisms require different chassis designs, and the traction, steering and obstacle crossing are important factors that determine the performance of the robot [5,6]. To respond to the different functional requirements for the robot, the design of different structures are needed, and many scholars have carried out the research on the grasping mechanism of the robot, including the design and development of a mechanical arm for a transplanter to process paper can seedlings [7], and the design of a stable and reliable grabbing mechanism [8] for some agricultural product bags, such as tight packing, large deformation and easy damage. Concurrently, some researchers also designed and analyzed the end actuator [9,10].…”

Section: Introductionmentioning

confidence: 99%

Path Tracking Control of Field Information-Collecting Robot Based on Improved Convolutional Neural Network Algorithm

Zhang

et al. 2020

Sensors

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Due to the narrow row spacing of corn, the lack of light in the field caused by the blocking of branches, leaves and weeds in the middle and late stages of corn growth, it is generally difficult for machinery to move between rows and also impossible to observe the corn growth in real time. To solve the problem, a robot for corn interlines information collection thus is designed. First, the mathematical model of the robot is established using the designed control system. Second, an improved convolutional neural network model is proposed for training and learning, and the driving path is fitted by detecting and identifying corn rhizomes. Next, a multi-body dynamics simulation software, RecurDyn/track, is used to establish a dynamic model of the robot movement in soft soil conditions, and a control system is developed in MATLAB/SIMULINK for joint simulation experiments. Simulation results show that the method for controlling a sliding-mode variable structure can achieve better control results. Finally, experiments on the ground and in a simulated field environment show that the robot for field information collection based on the method developed runs stably and shows little deviation. The robot can be well applied for field plant protection, the control of corn diseases and insect pests, and the realization of human–machine separation.

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Design and Simulation of a Handling Robot for Bagged Agricultural Materials

Cited by 10 publications

References 5 publications

Planning of Material Handling : Literature Review

Planning of Material Handling : Literature Review

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

Path Tracking Control of Field Information-Collecting Robot Based on Improved Convolutional Neural Network Algorithm

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