SLAM (simultaneous localization and mapping) technology is a key technology in the field of robotics. Visual SLAM has received widespread attention because of its low cost and rich information. However, traditional SL...
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Depalletizing, the process of unloading objects from pallets, is a critical task in warehouse automation. Robotic systems face challenges due to the diverse shapes and sizes of objects, often leading to failed grasps ...
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ISBN:
(纸本)9783031693434;9783031693441
Depalletizing, the process of unloading objects from pallets, is a critical task in warehouse automation. Robotic systems face challenges due to the diverse shapes and sizes of objects, often leading to failed grasps in cluttered environments. Pushing actions offer a promising solution to facilitate object singulation. In this work, we employ reinforcement learning (RL) for obtaining optimal pushing policies in depalletizing. We formulate the singulation task as goal reaching, where the target object is moved towards a goal area free from obstacles. Our approach, Goal-FCN (Goal-Driven Fully Convolutional Network), combines feature extraction with a fully convolutional neural network to predict effective pushing actions based on RGB-D images and scene segmentation. Experiments demonstrate the efficacy of our RL-based approach in achieving high success rates in challenging depalletization scenarios.
Distributed task assignment algorithm is the key algorithm to solve multi-agent task assignment problem. In this paper, heterogeneous UAVs cooperative search and combat task is taken as the background. First, a multi-...
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Industry 4.0 technologies are gaining traction with every aspect of modern manufacturing and distribution procedures. In the context of supply chain management, where the flow of products and information is of the utm...
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ISBN:
(纸本)9783031693434;9783031693441
Industry 4.0 technologies are gaining traction with every aspect of modern manufacturing and distribution procedures. In the context of supply chain management, where the flow of products and information is of the utmost importance, these technologies play a crucial role in achieving accuracy, speed, and flexibility while being cost effective. A central node of each supply chain is the distribution center. the main functionalities of distribution centers concern receiving, storing, packaging and dispatching goods, while managing all necessary information related to them. the paper at hand provides a short yet representative literature survey for the Industry 4.0 technologies that have been adopted so far in the logistics applications of contemporary distribution centers. the standard processes are outlined and examined in terms of their automation with novel applied or theoretical technological solutions. In addition, the emerging processes of distribution centers are discussed including demand forecasting and automation in last-mile delivery. Discussions and future trends are also presented, and the adoption pace of the new technologies is analyzed.
this article presents the results of developing a model for assessing water quality using the artificial intelligence method. the presented model is based on linear regression, which, when evaluated, revealed a statis...
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In modern container cloud computing environments, achieving efficient elastic scaling is crucial to optimizing resource utilization and improving system performance. this paper proposes a new prediction model based on...
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In this paper, for the process of radical polymerization, a method is used to obtain basic functions linking the kinetic constants of the process rates. It is shown that when analyzing the conversion curve, depending ...
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the proceedings contain 54 papers. the topics discussed include: an improved YOLOv7-tiny-based lightweight network for the identification of fish species;PPC-US-LSF3DOD: a pseudo-point-clouds based unsupervised and sc...
ISBN:
(纸本)9798350326369
the proceedings contain 54 papers. the topics discussed include: an improved YOLOv7-tiny-based lightweight network for the identification of fish species;PPC-US-LSF3DOD: a pseudo-point-clouds based unsupervised and scalable late-sensor-fusion method for 3D obstacle detection;optical character recognition of medical records based on deep learning;a comparative study of pre-trained CNNs and GRU-based attention for image caption generation;primary brain tumors image segmentation based on 3D-UNET with deep supervision and 3D brain modeling;an improved rotation-equivariant detector for aerial object detection;empirical UAV power consumption evaluation for optimized power constrained low cost UAV line of products path planning;and CTDS-Net: CNN-transformer fusion network for dermoscopic image segmentation.
Dynamic modeling of sensors is an important means to study their dynamic characteristics, laws of motion, and performance indicators. Aiming at the problem of high nonlinearity in sensor dynamic modeling, which makes ...
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the article deals withthe problem of determining the parameterizations of a linear controller that provides aperiodic transient processes in a system with interval parameters. To cope withthe above mentioned issue, ...
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