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An example diagram of the path planning algorithm flow. (a) Initial path planning. (b) The first step of path planning. (c) The second step of path planning. (d) The third step of path planning. (e) The fourth step of path planning. (f) The fifth step of path planning. (g) Path planning completed.
Source publication
Because traditional methods are difficult to solve the problems related to the path planning of logistics robots, this study proposes a method of using computer multimedia 3D reconstruction technology to realize the path planning of warehouse logistics robots. Without fully considering the accurate movement path between points, according to the war...
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In the global wave of automation, logistics and manufacturing are indispensable and important industries. Among them, the related automatic warehousing system is even more urgently needed. There are quite a few cases of using robotic arms in the current industry cargo stacking operations. Traditional operations require engineers to plan the stackin...
Citations
... In recent years, with the rapid development of e-commerce, more and more people have chosen to buy goods on major e-commerce platforms, resulting in a surge of orders in the warehousing and logistics industry, and the development of warehousing and logistics is faced with great challenges [1][2]. As one of the biggest demand points of e-commerce on logistics, warehousing logistics is undergoing a great change [3]. ...
This paper first studies the processing flow of image processing technology that preprocesses the image and adopts the method of polygonal approximation to identify the shape and localize the moving target. Then, the mobile platform of the warehouse logistics robot is designed. Then, the vision system of the robot was designed using image recognition technology to realize obstacle collision prediction and route planning. Finally, the robot’s localization and grasping abilities, trajectory following performance, and semantic segmentation abilities are analyzed using comparative experiments. The successful localization and grasping rates of the warehouse robots are all higher than 93%, and the trajectory following the straight line road section is better, with a maximum error of less than 21 mm. The mIoU of this paper’s method on the Cityscapes dataset is 78.85%, MPA is 86.05%, and PA is 96.89%, with good image segmentation performance. This study is of great significance for the development of the intelligent logistics field.
... This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: ...
... Because of their flexible and scalable characteristics, mobile robots have been widely used in many areas, such as industry, (1,2) hospitals, (3) and logistics. (4,5) Therefore, navigation control for mobile robots is a crucial research topic. Navigation control can be divided into two types: navigation in a known environment and navigation in an unknown environment. ...
... In recent years, mobile robots have been increasingly used in various applications of logistics and supply chain management [1][2][3] . Several examples have been demonstrated to optimize and improve industrial processes, drawing attention from both academy and industry 4-6 . ...
... One of the possible industrial applications of Omnibot is the automatic floor marking of large exhibition halls where the boundaries of the single exhibition booths need to be clearly set before the event. To this aim, Omnibot is equipped, as shown in Fig. 19, with an airless spraying unit powered by an hydraulic pump (5), commanded by a motor driver (6), that sucks out the paint stored in two tanks (2), placed in the upper rack (1), and feeds it to a bottom nozzle (4) usually placed at 25 cm away from the floor even if its height can be adjusted by using the ...
The paper deals with the design and testing of a robot for industrial applications featuring omnidirectionality thanks to the use of mecanum wheels. While this architecture provides remarkable manoeuvrability in narrow or cluttered spaces, it has some drawbacks that limit its widespread deployment in practice, especially for heavy-duty and long-duration tasks. As an example, the variability in the mecanum wheel rolling radius leads to undesired dynamic ill-effects, such as slippage and vibrations that affect the accuracy of pose estimation and tracking control systems. Drawing on the modeling of the kinematic and dynamic behaviour of the robot, these effects have been tackled within an adaptive estimation framework that adjusts the robot control system based on the properties of the surface being traversed. The proposed approach has been validated in experimental tests using a physical prototype operating in real industrial settings.
Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise. This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods. It proposes an enhanced scheme integrating the Metropolis criterion. To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm’s powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion. The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization. A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms.
