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Journal articles on the topic 'Picking time'

Author: Grafiati

Published: 29 June 2021

Last updated: 29 July 2025

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1

Ullah, Sana. "EFFECT OF SOWING METHODS AND PICKING INTERVALS ON THE FRESH YIELD AND SEED PRODUCTION OF OKRA (ABELMOSCHUS ESCULENTUS L.)." JOURNAL OF WEED SCIENCE RESEARCH 27, no. 3 (2021): 407–18. http://dx.doi.org/10.28941/pjwsr.v27i3.885.

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To study the effect of various planting beds and picking time on yield of okra, a research study was conducted at Horticulture Research Farm, Malakander, The University of Agriculture Peshawar, Pakistan. Okra seeds of cultivar Swat Green were planted into two different types of sowing methods (ridges and flat beds), and reduced to various number of picking (3, 4, and 5 intervals). The results of the present study revealed that okra plants sown on the ridges recorded maximum germination percentage (96.9%), fruit weight (22.41g), pod length (14.44 cm), seed pod-1 (48), 100 seed weight (6.41 g),

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2

Wang, Deyao, Jun Jiang, Ran Ma, and Guicheng Shen. "Research on Hybrid Real-Time Picking Routing Optimization Based on Multiple Picking Stations." Mathematical Problems in Engineering 2022 (April 6, 2022): 1–15. http://dx.doi.org/10.1155/2022/5510749.

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In the order picking process of the warehouse center, considering the rapid increase in the volume of orders arriving at the picking center at the time of the promotional festival, a hybrid operation mode with multiple picking tables is used to meet the picking requirements of the huge number of real-time orders. Therefore, in this paper, a hybrid picking mode is proposed, taking into account both the idle degree of picking stations and their order item centers of gravity, and a new reinforcement learning algorithm embedding mechanism (PRL) with placeholder control is designed to solve the pro

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3

Sheng, Guanqun, Shuangyu Yang, Xin-Gong Tang, and Xiaolong Guo. "Arrival-time picking of microseismic events based on MSNet." GEOPHYSICS 87, no. 2 (2022): KS57—KS71. http://dx.doi.org/10.1190/geo2020-0469.1.

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Arrival-time picking of microseismic events is a critical procedure in microseismic data processing. However, because field monitoring data contain many microseismic events with low signal-to-noise ratios (S/Ns), traditional arrival-time picking methods based on the instantaneous characteristics of seismic signals cannot meet the picking accuracy and efficiency requirements of microseismic monitoring owing to the large volume of monitoring data. Conversely, methods based on deep neural networks can significantly improve arrival-time picking accuracy and efficiency in low-S/N environments. Ther

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Hu, Xiaomei, Zhaoren Pan, and Shunke Lv. "Picking Path Optimization of Agaricus bisporus Picking Robot." Mathematical Problems in Engineering 2019 (September 25, 2019): 1–16. http://dx.doi.org/10.1155/2019/8973153.

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The design and application of the mushroom picking robot will greatly reduce the labor cost, and it has become one of the research hotspots in the world. Therefore, we independently developed an A. bisporus (a kind of mushroom) picking robot and introduced its functional principle in this paper. At the same time, in order to improve the picking efficiency of the picking robot, a picking path optimization algorithm based on TSP model is proposed. Firstly, based on the TSP model, a picking route model for A. bisporus was established to determine the storage location of each A. bisporus. Then, an

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Zhang, He, Yun Ge, Chao Sun, Haifeng Zeng, and Na Liu. "Picking Path Planning Method of Dual Rollers Type Safflower Picking Robot Based on Improved ant Colony Algorithm." Processes 10, no. 6 (2022): 1213. http://dx.doi.org/10.3390/pr10061213.

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Aiming at the problem of automatic path planning for the whole safflower bulbs during the operation of safflower picking robots, an improved ant colony algorithm (ACA) was proposed to plan the three-dimensional path of the safflower picking points. The shortest time and distance were taken as the overall goal of path planning to comprehensively improve the working efficiency of safflower picking robots. First, in order to shorten time, the angle induction factor was introduced to reduce the angle rotation of the end-effector. Second, in order to shorten the length of the picking path, the pick

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Ma, Yuanyuan, Siyuan Cao, James W. Rector, and Zhishuai Zhang. "Automated arrival-time picking using a pixel-level network." GEOPHYSICS 85, no. 5 (2020): V415—V423. http://dx.doi.org/10.1190/geo2019-0792.1.

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Arrival-time picking is an essential step in seismic processing and imaging. The explosion of seismic data volume requires automated arrival-time picking in a faster and more reliable way than existing methods. We have treated arrival-time picking as a binary image segmentation problem and used an improved pixel-wise convolutional network to pick arrival times automatically. Incorporating continuous spatial information in training enables us to preserve the arrival-time correlation between nearby traces, thus helping to reduce the risk of picking outliers that are common in a traditional trace

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7

Dmytrów, Krzysztof. "Consideration of picking time in selection of locations in the order-picking." Studia i Prace WNEiZ 45 (2016): 229–40. http://dx.doi.org/10.18276/sip.2016.45/1-18.

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8

Calzavara, Martina, Robin Hanson, Fabio Sgarbossa, Lars Medbo, and Mats I. Johansson. "Picking from pallet and picking from boxes: a time and ergonomic study." IFAC-PapersOnLine 50, no. 1 (2017): 6888–93. http://dx.doi.org/10.1016/j.ifacol.2017.08.1212.

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9

Jakienė, Erika, Edita Kaušė, and Nijolė Vaitkevičienė. "Impact of Picking Time on Leaf Quality Parameters of Three Varieties of Honeysuckle (Lonicera caerulea L.)." Agriculture 15, no. 3 (2025): 257. https://doi.org/10.3390/agriculture15030257.

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Lonicera caerulea is a nutrient-rich plant of significant importance. Its chemical composition is influenced by various intrinsic properties and external factors, which change with the seasons. This study aimed to evaluate the effects of different picking times on the proximate composition and the contents of pigments, macroelements, bioactive compounds and antioxidant activity in honeysuckle leaves. Seasonal changes in the contents of fiber, ash, proteins, nitrogen (N), potassium (K), magnesium (Mg), phosphorus (P), calcium (Ca), chlorophylls, total carotenoids, total flavonoids and total phe

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10

Hanson, Robin, Lars Medbo, and Mats I. Johansson. "Order batching and time efficiency in kit preparation." Assembly Automation 35, no. 1 (2015): 143–48. http://dx.doi.org/10.1108/aa-05-2014-046.

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Purpose – The purpose of this paper is to determine whether man-hour efficiency of picking is affected by the use of batch preparation, compared to preparation of one kit at a time. This paper focuses on small kit preparation areas. Design/methodology/approach – This paper is based on two experiments that were performed at a vehicle assembly plant and then analysed quantitatively. Findings – The results provide a strong indication of the advantages associated with batch preparation, in terms of man-hour efficiency. Practical implications – The fact that the effects identified during the experi

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11

Yuan, Ruiping, Juntao Li, Xiaolin Wang, and Liyan He. "Multirobot Task Allocation in e-Commerce Robotic Mobile Fulfillment Systems." Mathematical Problems in Engineering 2021 (October 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/6308950.

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Robotic Mobile Fulfillment System (RMFS) is a new type of parts-to-picker order picking system and has become the development trend of e-commerce logistics distribution centers. There are usually a large number of tasks need to be allocated to many robots and the picking time for e-commerce orders is usually very tight, which puts forward higher requirements for the efficiency of multirobot task allocation (MRTA) in e-commerce RMFS. Current researches on MRTA in RMFS seldom consider task correlation and the balance among picking stations. In this paper, a task time cost model considering task

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12

Liang, Kaibo, Li Zhou, Jianglong Yang, et al. "Research on a Dynamic Task Update Assignment Strategy Based on a “Parts to Picker” Picking System." Mathematics 11, no. 7 (2023): 1684. http://dx.doi.org/10.3390/math11071684.

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Order picking is a crucial operation in the storage industry, with a significant impact on storage efficiency and cost. Responding quickly to customer demands and shortening picking time is crucial given the random nature of order arrival times and quantities. This paper presents a study on the order-picking process in a distribution center, employing a “parts-to-picker” system, based on dynamic order batching and task optimization. Firstly, dynamic arriving orders with uncertain information are transformed into static picking orders with known information. A new method of the hybrid time wind

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13

Xu, Lei, Tong Shen, and Xuan Jiang. "USCNet: Seismic P-wave arrival time pickup based on deep learning." Journal of Physics: Conference Series 2895, no. 1 (2024): 012051. https://doi.org/10.1088/1742-6596/2895/1/012051.

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Abstract The accurate pickup of seismic P-waves has important application value for real-time seismic data processing such as earthquake activity monitoring and earthquake disaster warning. However, existing low signal-to-noise ratio seismic data pickup algorithms often face problems of low accuracy and poor robustness. To address these issues, we designed a seismic P-wave picking network called USCNet. This network combines the advantages of U-Net and SegNet networks. The U-Net network performs well in picking accuracy, but requires a large number of learning parameters; SegNet networks are t

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14

Bogue, Robert. "Fruit picking robots: has their time come?" Industrial Robot: the international journal of robotics research and application 47, no. 2 (2020): 141–45. http://dx.doi.org/10.1108/ir-11-2019-0243.

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Purpose The purpose of this paper is to describe recent fruit picking robot developments with an emphasis on corporate activity rather than academic research. It also aims to provide a view on the commercial prospects for these developments. Design/methodology/approach Following a short introduction, this first discusses strawberry and other soft fruit picking robot developments conducted principally by commercial organisations. It then provides similar details of robots for harvesting apples and other hard fruits. This is followed by a discussion and concluding comments. Findings The shortage

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15

Enjia, Zhang. "Design and Implementation of the Cloud Platform System of the Picking Robot." Journal of Engineering Research and Reports 27, no. 3 (2025): 259–73. https://doi.org/10.9734/jerr/2025/v27i31431.

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This paper designed picking robot data processing system based on the cloud technology, the system has the following functions: the user can view the current picking robot in the location of the orchard, environmental temperature and humidity, real-time orchard images and other environment information, and picking robot status and data such as robotic arm motion, picking robot working time and the current temperature, depth camera real-time image and picking recognition rate data. At the same time, the data of the picking robot device is interacted, collected and stored, and the data is exchan

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16

Kubota, Mana, Kirika Matsuda, Aya Ishigaki, Munehiro Sugiyama, and Shigetoshi Noritake. "Collaboration between a picker and picking robots to minimize work time and waiting time in order picking." Proceedings of Manufacturing Systems Division Conference 2024 (2024): 805. http://dx.doi.org/10.1299/jsmemsd.2024.805.

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17

Wang, Qianfang, Guanqun Sheng, Xingong Tang, and Kai Xie. "Semi-Picking: A semi-supervised arrival time picking for microseismic monitoring based on the TransUGA network combined with SimMatch." Geophysical Journal International 240, no. 1 (2024): 502–34. http://dx.doi.org/10.1093/gji/ggae308.

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SUMMARY An accurate and efficient method for picking the first arrival of microseismic signals is crucial for processing microseismic monitoring data. However, the weak magnitude and low signal-to-noise ratio (SNR) of these signals make picking arrivals challenging. Recent advancements in deep learning-based methods for picking the first arrivals of microseismic signals have effectively addressed the inefficiencies and inaccuracies of traditional methods. Nevertheless, these methods often require many training samples, and the substantial size and labelling effort significantly hinder the deve

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18

Abadi Johan, Stevanus, and Oki Sunardi. "EVALUASI DAN STRATEGI MENINGKATKAN KINERJA ORDER PICKING DI GUDANG RITEL MENGGUNAKAN SIMULASI FLEXSIM." Jurnal Ilmiah Teknik Industri 11, no. 1 (2023): 43–56. http://dx.doi.org/10.24912/jitiuntar.v11i1.20201.

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Economic growth based on economic sharing encourages e-commerce transactions to increase. Along with this, the need for an effective distribution process is also increasing, in order to fulfill orders quickly and accurately. This study was conducted on the logistics department at one of the retail companies providing electronic equipments and accessories. Preliminary observations indicate the high level of overtime experienced by employees in the logistics department, as well as the high rate of errors in delivery of ordered products, which results in high complaints from customers. The aim of

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19

Chang, Suk Hwa. "The Picking Lead Time for the Picking Batch Size in a Warehouse System." Journal of Society of Korea Industrial and Systems Engineering 36, no. 2 (2013): 17–24. http://dx.doi.org/10.11627/jkise.2013.36.2.17.

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20

Vidovič, Ela, and Brigita Gajšek. "Analysing picking errors in vision picking systems." Logistics & Sustainable Transport 11, no. 1 (2020): 90–100. http://dx.doi.org/10.2478/jlst-2020-0006.

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AbstractVision picking empowers users with access to real-time digital order information, while freeing them from handheld radio frequency devices. The smart glasses, as an example of vision picking enabler, provide visual and voice cues to guide order pickers. The glasses mostly also have installed navigation features that can sense the order picker’s position in the warehouse. This paper explores picking errors in vision systems with literature review and experimental work in laboratory environment. The results show the effectiveness of applying vision picking systems for the purposes of act

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21

Zhang, Zhao, Renfu Lu, and Cannayen Igathinathane. "A Time and Motion Study for Evaluation of Apple Harvest Processes with Different Harvest Methods." Transactions of the ASABE 63, no. 6 (2020): 1957–67. http://dx.doi.org/10.13031/trans.14144.

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HighlightsWorkers’ apple harvest processes with three harvest methods were evaluated and compared.All three harvest methods had low overall harvest efficiency.Harvest efficiency for the ladder-and-bucket method can be improved by reducing non-picking activities.Innovation for harvest platform systems should focus on improving fruit picking activities.Abstract. In recent years, harvest platforms are being increasingly used by apple growers in the U.S. and many other countries to replace the traditional ladder-and-bucket harvest method. However, the current harvest platforms still have low level

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22

Zhang, Zhao, Renfu Lu, and Cannayen Igathinathane. "A Time and Motion Study for Evaluation of Apple Harvest Processes with Different Harvest Methods." Transactions of the ASABE 63, no. 6 (2020): 1957–67. http://dx.doi.org/10.13031/trans14144.

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HighlightsWorkers’ apple harvest processes with three harvest methods were evaluated and compared.All three harvest methods had low overall harvest efficiency.Harvest efficiency for the ladder-and-bucket method can be improved by reducing non-picking activities.Innovation for harvest platform systems should focus on improving fruit picking activities.Abstract. In recent years, harvest platforms are being increasingly used by apple growers in the U.S. and many other countries to replace the traditional ladder-and-bucket harvest method. However, the current harvest platforms still have low level

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23

Chondromatidis, Nikolaos, Anastasios Gialos, Vasileios Zeimpekis, and Michael Madas. "Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments." Logistics 8, no. 1 (2024): 13. http://dx.doi.org/10.3390/logistics8010013.

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Background: Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still a very limited amount of research concerning the implementation and evaluation of such technologies in manual picker-to-goods order-picking systems. Therefore, this paper aims to evaluate the performance of three alternative picker-to-goods technologies (i.e., Pick-by-Radio Frequency (RF) Scanner, Pick-to-light, and Pick-by-vision) in terms of completion time and perceived workload. Methods: The Design of Experiments (DoE) methodology is adopt

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24

Lomask, Jesse, Antoine Guitton, Sergey Fomel, Jon Claerbout, and Alejandro A. Valenciano. "Flattening without picking." GEOPHYSICS 71, no. 4 (2006): P13—P20. http://dx.doi.org/10.1190/1.2210848.

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We present an efficient full-volume automatic dense-picking method for flattening seismic data. First local dips (stepouts) are calculated over the entire seismic volume. The dips are then resolved into time shifts (or depth shifts) using a nonlinear Gauss-Newton iterative approach that exploits fast Fourier transforms to minimize computation time. To handle faults (discontinuous reflections), we apply a weighted inversion scheme. The weight identifies locations of faults, allowing dips to be summed around the faults to reduce the influence of erroneous dip estimates near the fault. If a fault

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Yuan, Bingkun, Hongjian Zhang, Yanfang Li, et al. "Design and Experimental Evaluation of a Two-Stage Domain-Segmented Harvesting Device for Densely Planted Dwarf Apple Orchards." AgriEngineering 7, no. 5 (2025): 135. https://doi.org/10.3390/agriengineering7050135.

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To address the challenges of manual apple harvesting and the limitations of existing devices—such as constrained workspace, low efficiency, and limited flexibility—a two-stage, sub-region harvesting device was developed. The design, informed by the fruit distribution characteristics in densely planted dwarf apple orchards, integrates a positioning mechanism and a fruit-picking mechanism, enabling multiple pickings within a single positioning operation to enhance workspace coverage. A forward kinematics model was established using the Denavit–Hartenberg (D–H) parameter method. An improved Monte

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Rizaev, Anvar, Rafik Matchanov, A. T. Yuldashev, et al. "Cotton harvesters for one-time cotton-picking." IOP Conference Series: Materials Science and Engineering 1030 (January 15, 2021): 012173. http://dx.doi.org/10.1088/1757-899x/1030/1/012173.

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27

Testoni, A., and P. Eccher Zerbini. "PICKING TIME AND QUALITY IN APPLE STORAGE." Acta Horticulturae, no. 258 (December 1989): 445–54. http://dx.doi.org/10.17660/actahortic.1989.258.51.

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28

Chakrabortty, Aditya, Carlota Perez, Jim Watson, et al. "Debate: Time to start picking winners again?" Public Policy Research 17, no. 4 (2011): 183–88. http://dx.doi.org/10.1111/j.1744-540x.2011.00628.x.

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29

Lee, Joo Ae, Yoon Seok Chang, Hyun-Jin Shim, and Sung-Je Cho. "A Study on the Picking Process Time." Procedia Manufacturing 3 (2015): 731–38. http://dx.doi.org/10.1016/j.promfg.2015.07.316.

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30

Du, Xinwu, Xulong Yang, Jiangtao Ji, Xin Jin, and Lei Chen. "Design and Test of a Pineapple Picking End-effector." Applied Engineering in Agriculture 35, no. 6 (2019): 1045–55. http://dx.doi.org/10.13031/aea.13405.

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Abstract. In eastern China, pineapple harvesting is a complicated and sometimes dangerous task, and an effective method to harvest pineapples instead of picking them manually has not been developed. In this article, a pineapple picking end-effector based on the physical properties of pineapples (static friction characteristics and compressive properties) was designed. The fingers of the end-effector were used to capture a pineapple in the form of step-by-step movement to help reduce fruit damage and plant damage during picking. The indexes of the evaluation of the pineapple picking performance

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Han, Changwan, Hyeongjun Jeon, Junghyun Oh, and Heungjae Lee. "Dynamic Order Picking Method for Multi-UAV System in Intelligent Warehouse." Remote Sensing 14, no. 23 (2022): 6106. http://dx.doi.org/10.3390/rs14236106.

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For the logistics environment, multi-UAV algorithms have been studied for the purpose of order picking in warehouses. However, modern order picking adopts static order picking methods that struggle to cope with increasing volumes of goods because the algorithms receive orders for a certain period of time and pick only those orders. In this paper, by using the modified interventionist method and dynamic path planning, we aim to assign orders received in real-time to multi-UAVs in the warehouse, and to determine the order picking sequence and path of each UAV. The halting and correcting strategy

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Li, Haiyang, Xiuqing Fu, Hongwen Zhang, et al. "Analysis and Experiment of Dynamic Picking Process of Spindle of Cotton Picker." Agriculture 12, no. 9 (2022): 1346. http://dx.doi.org/10.3390/agriculture12091346.

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The spindle is a key core component of a cotton picker, and its operating parameters directly affect the quality of cotton harvesting. In this study, the spindle was selected as the research object. The kinematics and mechanics analysis of the cotton-picking process was conducted, the dynamic motion trajectory of the spindle was obtained, and the working parameters affecting the picking performance of the spindle were determined. A test bench for spindle picking performance was built; the spindle speed and feed speed were used as test factors; the seed cotton rejection rate, picking time, and

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Van Scheers, Louise, and Mike Cant. "The correlation between cherry picking and the distance that consumers travel to do grocery shopping." South African Journal of Economic and Management Sciences 10, no. 2 (2013): 214–22. http://dx.doi.org/10.4102/sajems.v10i2.582.

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Retailers often use price promotions to discriminate between consumers who can shift purchases over time and those who cannot. Retailers consistently tend to charge lower prices than necessary, pricing defensively to prevent loyal customers from cherry picking, or shifting to competitors. Knowledge about cherry picking behaviour will enable retailers to obtain a higher share of disposable income from even price-sensitive shoppers, while at the same time charging higher prices. Recent studies indicate that effective cherry picking entails saving costs through price searching over time, price se

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Charrieau, Laurie M., Lene Bryngemark, Ingemar Hansson, and Helena L. Filipsson. "Improved wet splitter for micropalaeontological analysis, and assessment of uncertainty using data from splitters." Journal of Micropalaeontology 37, no. 1 (2018): 191–94. http://dx.doi.org/10.5194/jm-37-191-2018.

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Abstract. Analyses of foraminiferal assemblages have often been implemented on dry samples, which are easy to split. In some cases, the wet-picking method is preferred as it allows the preservation of more foraminiferal forms and facilitates the picking of live foraminifera. However, the increased execution time needed for wet picking may cause micropalaeontologists to refrain from employing it in a routine way. Here we present an improved and cost-effective wet splitter (including a 3-D printing file) for micropalaeontological samples aimed to reduce picking time while keeping information los

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Dukic, Goran, Tihomir Opetuk, Brigita Gajšek, and Tone Lerher. "Single-Tray VLM vs Dual-Tray VLM." Tehnički glasnik 15, no. 4 (2021): 498–503. http://dx.doi.org/10.31803/tg-20210824184058.

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In this paper quantitative comparison of resulting throughputs for single-tray and dual-tray VLM devices is presented. Comparison is based on mathematical models for throughput approximating dual command times of VLM’s crane, for selected parameters of VLM device (height and crane’s velocity) and selected picking times per delivered tray. Analysis showed that throughput increase achieved by using dual-tray VLM’s depends mostly on the average picking time relative to the expected dual command time of the VLM’s crane. Highest improvements are possible for picking time equal to expected dual comm

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Husniyyah and Sumiati. "O Optimalisasi Produktivitas PDA dan Trolley Pada Proses Picking dengan Metode Time Motion Study (TMS) di Gudang PT. XYZ." LOGISTIK 18, no. 01 (2025): 53–62. https://doi.org/10.21009/logistik.v18i01.51183.

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Perusahaan XYZ merupakan perusahaan yang bergerak pada bidang logistik dan menyewakan gudang untuk menyimpan barang-barang dari client. Dalam proses operasional gudang terdapat proses inbound, outbond, picking dan packing. Proses picking menjadi hal yang terpenting karena jika proses picking terdapat keterlambatan akan menyebabkan proses selanjutnya terlambat dan pesanan konsumen akan tertunda. Proses picking PT XYZ menggunakan alat bantu trolley biasa berkapasitas 6 order dengan bantuan scanner biasa. Dari hal tersebut membuat picker bolak-balik sehingga didapatkan solusi untuk mengukur produ

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Huang, Jiaqing, Yinying Li, Shuo Feng, Ruixi Guo, and Peihong Zheng. "Intelligent Tennis Ball Picking Robot Based on Visual Recognition." Industry Science and Engineering 2, no. 1 (2025): 33–41. https://doi.org/10.62381/i255106.

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Aiming at the problem that most of the time in tennis training is spent on picking up scattered tennis balls and cleaning the court, an intelligent tennis ball picking robot based on visual recognition is designed. In the tennis ball picking robot, the color contour recognition method is first introduced to realize the visual recognition technology, and then the robot's autonomous navigation and obstacle avoidance are realized through the sensor fusion SLAM (Simultaneous Location and Mapping) mapping technology. The tennis ball picking and storage are completed by using the functional features

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Apsalons, Raitis, and Gennady Gromov. "Methodology of Evaluation of the Impact of Picking Area Location on the Total Costs of Warehouse." Transport and Telecommunication Journal 18, no. 4 (2017): 332–44. http://dx.doi.org/10.1515/ttj-2017-0031.

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Abstract The picking system and the layout of the picking area are the key drivers for the evaluation of a warehouse picking cost. There are five variants for organizing the picking process of orders in a warehouse. The choice of a specific variant depends on the total cost of picking. The picking cost is evaluated within an uninterrupted picking process. It means that no stock out occurs in the time period of the picking process. The storing area and the picking area are created as two separate zones for picking quantities of the customer’s orders; the principle of division of orders is obser

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Tang, Zuoliang, Lijia Xu, Yuchao Wang, Zhiliang Kang, and Hong Xie. "Collision-Free Motion Planning of a Six-Link Manipulator Used in a Citrus Picking Robot." Applied Sciences 11, no. 23 (2021): 11336. http://dx.doi.org/10.3390/app112311336.

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This paper presents the results of a motion planning algorithm that has been used in an intelligent citrus-picking robot consisting of a six-link manipulator. The real-time performance of a motion planning algorithm is urgently required by the picking robot. Within the artificial potential field (APF) method, the motion planning of the picking manipulator was basically solved. However, the real-time requirement of the picking robot had not been totally satisfied by APF because of some native defects, such as the large number of calculations used to map forces into torques by the Jacobian matri

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Thapa, Shekhar, Glen C. Rains, Wesley M. Porter, et al. "Robotic Multi-Boll Cotton Harvester System Integration and Performance Evaluation." AgriEngineering 6, no. 1 (2024): 803–22. http://dx.doi.org/10.3390/agriengineering6010046.

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Several studies on robotic cotton harvesters have designed their end-effectors and harvesting algorithms based on the approach of harvesting a single cotton boll at a time. These robotic cotton harvesting systems often have slow harvesting times per boll due to limited computational speed and the extended time taken by actuators to approach and retract for picking individual cotton bolls. This study modified the design of the previous version of the end-effector with the aim of improving the picking ratio and picking time per boll. This study designed and fabricated a pullback reel to pull the

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Némethy, Sándor, and Björn A. Malmgren. "Microfossil vacuum picker—a new tool for micropaleontologists." Journal of Paleontology 66, no. 4 (1992): 689–90. http://dx.doi.org/10.1017/s0022336000024586.

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A considerable part of micropaleontological work consists of picking microfossils for various types of analyses. Physical removal of specimens from a sample is necessary, for example, in morphometric, stable isotope, geochemical, and molecular studies of microfossils. The traditional method for picking microfossils involves transfer of each specimen from the picking tray to a slide using a moistened brush or a needle. This process requires a great deal of time and the risk of losing or damaging the specimen on the way from the picking tray to the slide is apparent. Furthermore, in geochemical

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Huang, Mingsen, Xiaohu Jiang, Long He, Daeun Choi, John Pecchia, and Yaoming Li. "Development of a Robotic Harvesting Mechanism for Button Mushrooms." Transactions of the ASABE 64, no. 2 (2021): 565–75. http://dx.doi.org/10.13031/trans.14194.

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HighlightsA robotic mushroom picking mechanism was developed, including positioning, picking, and stipe trimming.The picking end-effector was designed based on a bending motion around the stipe-substrate joint.The overall success rate of the developed picking mechanism reached 91.4%.Acting time and air pressure for the suction cup were studied in mushroom bruise level tests.Abstract. Button mushroom (Agaricus bisporus) harvesting mainly relies on costly manpower, which is time-consuming and labor-intensive. Robotic harvesting is an alternative method to address this challenge. In this study, a

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Kang, Di, Youhua Fan, Zejun Chen, Fang Ma, Shaofeng Peng, and YongWang. "Camellia Oleifera Harvester Based on Model Processing." Journal of Physics: Conference Series 2066, no. 1 (2021): 012112. http://dx.doi.org/10.1088/1742-6596/2066/1/012112.

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Abstract Aiming at the problems of high leakage rate and high damage rate in mechanized picking of Camellia oleifera fruit, a branch shaking type picking machine was designed. According to the working principle of picking, the structure design of key components was completed, and the orthogonal test of three factors and three levels was designed. The results showed that the best combination of operating parameters was: picking time 45s, vibration frequency 8Hz, amplitude 5cm of picking head. The field test of Camellia oleifera fruit picking machine was carried out, and the picking rate was 91.

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Jin, Xin, Shu Jun Li, Xue Jun Yang, Jian Min Wu, Zhong Jun Liu, and Han Kun Liu. "Developments in Research on Seedling Auto-Picking Device of Vegetable Transplanter." Applied Mechanics and Materials 364 (August 2013): 375–79. http://dx.doi.org/10.4028/www.scientific.net/amm.364.375.

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Seedling auto-picking device is one of the most important working parts of a vegetable automatic transplanter. Its performance determines the transplanting quality, reliability and operation efficiency. The current developments of the seedling auto-picking device were discussed, and several typical devices were introduced in this paper. The existing problems of seedling auto-picking devices of different picking methods were pointed out. With the advantages of accurate location, high efficiency and easy picking, the mandril-type seedling picking was thought as the better transplanting mode of v

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Wu, Zhong-huan, Hong-jie Chen, and Jia-jia Yang. "Optimization of Order-Picking Problems by Intelligent Optimization Algorithm." Mathematical Problems in Engineering 2020 (July 23, 2020): 1–12. http://dx.doi.org/10.1155/2020/6352539.

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To improve the efficiency of warehouse operations, reasonable optimization of picking operations has become an important task of the modern supply chain. For the purpose of optimization of order picking in warehouses, a new fruit fly optimization algorithm, particle swarm optimization, random weight, and weight decrease model are used to solve the mathematical model. Further optimization is achieved through the analysis of the warehouse shelves and screening of the optimal solution of the picking time. In addition, simulation experiments are conducted in the MATLAB environment through programm

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G N, Bhoomika. "Drug Picking Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1979–82. http://dx.doi.org/10.22214/ijraset.2022.45571.

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Abstract: Medical shops are playing a vital role in human health care system now a days. When the medical shop is more crowded, customers struggle to purchase medicines. This creates a significant problem for the supplier in terms of delivering medicines to customers on time and during an emergency. The suggested method employs an autonomous robot that picks up the medicine from a storage area and puts it in the dispenser box without the need for human intervention. It solves the problems of the existing system, which is operated manually.

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Lorenc, Augustyn, and Aurelija Burinskiene. "Improve the orders picking in e-commerce by using WMS data and BigData analysis." FME Transactions 49, no. 1 (2021): 233–43. http://dx.doi.org/10.5937/fme2101233l.

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The primary purpose of the research is the improvement of the orders picking process without additional investments for the software, employees, tool and inventories. For problem-solving, the data about picking is exported and preprocessed from WMS. The BigData analysis and product clustering in Tableau software is delivered using the data, where the Product Allocation Problem (PAP) is solved. Picking time for reference scenario and new analysed one is calculated and compared. The presented research proves that standard data collected by WMS could be used for solving PAP for the reduction of t

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Duan, Li-Mei. "Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm." International Journal of Online Engineering (iJOE) 14, no. 11 (2018): 176. http://dx.doi.org/10.3991/ijoe.v14i11.9527.

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<p class="0abstract"><span lang="EN-US">To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technolog

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Gao, Wenqi, Youxue Wang, Yang Yang, et al. "Calculation of Theoretical Travel Time and Automatic Picking of Actual Travel Time in Seismic Data." Applied Sciences 13, no. 3 (2023): 1341. http://dx.doi.org/10.3390/app13031341.

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We used the ray tracing technique based on the IASP91 Earth model to calculate the travel times in order to identify the phases. This technique can calculate the travel times for the seismic phases in the conventional travel time tables. The waveform data received from the stations in the Guangxi area are selected for analysis and discussion. The outcomes of the numerical modeling and its use demonstrate that there is good agreement in terms of the absolute differences between the calculated and theoretical travel times from the ISAP91 tables. The relative residuals are determined directly fro

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Zhang, Hang, Ruoyu Li, Chunchi Ma, et al. "A Dual-Task Approach for Onset Time Picking and the Detection of Microseismic Waveforms Based on Deep Learning." Applied Sciences 14, no. 24 (2024): 11689. https://doi.org/10.3390/app142411689.

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Construction projects in deep underground engineering are associated with the recording of massive amounts of diversified signals during real time and continuous microseismic monitoring given the complexity and specificity of the construction environment. Before the analysis of source information and further prediction of possible disasters, it is generally necessary to perform onset time picking and detection of microseismic signals. To improve the accuracy and efficiency of these tasks, this paper proposes an advanced deep dual-task neural network, which sequentially integrates the two proce

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