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5th international conference on robotics and automation systems, robotics 2010

ISBN: (纸本)9783908451884

the proceedings contain 72 papers. the special focus in this conference is on robotics and automation systems. the topics include: Application of simulators and simulation tools for the functional design of mechatronic systems;determination of generalized coordinates and forces for generation of the three dimensional curves with torsion by PKM parallel kinematik machines;automatic page turner;CAD based design optimization of planar parallel manipulators;automated test bench for study of the fuel injection process;about an experimental approach used to determine the kinematics of the human finger movement;exteroceptive sensor system of a new developed artificial hand;mechatronic design of a planar parallel robot actuated by pneumatic artificial muscles;robot motion synchronization in cooperative tasks;method for planning multitasking robot application programs in RAPID;remote controlled video inspection manipulator of sewage networks pipes;specific mechanisms for construction mobile robots;social interaction in systems of humans and mobile robots;software system for mechanism and robot simulation;some AI based approaches on mobile robots motion planning;actuation strategy for a new driving simulator setup;scaled experimental stand for testing control algorithms on brake systems with anti-lock capability;3D control for a truncated cone tentacle kinematics;modeling and analysis of soccer robot tasks using generalized stochastic petri nets;video camera measuring application using matlab;triangulation 3D scanning method in biomedical reconstruction and modeling of shape memory alloy actuators using matlab and dspace platform.

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Call for Papers the 5th IEEE international conference on Cybernetics and Intelligent systems(CIS 2011) the 5th IEEE international conference on robotics,automation and Mechatronics(RAM 2011)

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控制理论与应用 2011年第2期28卷 142-142,165页

September 17-19,2011,Qingdao,China http://***/the 5th IEEE international Joint conference on Cybernetics and Intelligent systems and robotics,automation and Mechatronics(CIS-RAM 2011)will be held in Qingdao,China,duri... 详细信息

关键词：《控制理论与应用》期刊摘要编辑部

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RSAE 2023 - 2023 the 5th international conference on robotics systems and automation Engineering

RSAE 2023 - 2023 the 5th International Conference on Robotic...

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5th international conference on robotics systems and automation Engineering, RSAE 2023

ISBN: (纸本)9781450398510

the proceedings contain 9 papers. the topics discussed include: human jaw rehabilitation reinvented;development of a 4 DOF robot arm for picking and placing;agile pointing control method for a new type of satellite-borne flexible cable parallel platform;numerical analysis of torques generated in a propulsion system using eddy currents phenomenon;design of wireless PM2.5 dust detection system for STC series single-chip microcomputer;6G data analytics platform for applying condition monitoring in smart factory;an overview of artificial intelligence applications in food cold chain transportation;an identification algorithm of rice seedling rows with seedlings absence based on CS Yolov5 model;and multi-objective excavation trajectory planning for unmanned excavators.

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Industry 4.0 Technologies in Distribution Centers: A Survey 5th

Industry 4.0 Technologies in Distribution Centers: A Survey

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5th 5th Olympus - international conference on Supply Chain

作者： Daios, Adamos Kostavelis, Ioannis Int Hellen Univ Dept Supply Chain Management Kanellopoulou 2 Katerini 60132 Greece

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.

关键词： industry 4.0 distribution center robotics IoT cloud computing warehouse automation

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Robotic Depalletizing via Reinforcement Learning of a Pushing Policy 5th

Robotic Depalletizing via Reinforcement Learning of a Pushin...

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5th 5th Olympus - international conference on Supply Chain

作者： Dimou, Argyris Kiatos, Marios Malassiotis, Sotiris Informat Technol Inst ITI Ctr Res & Technol Hellas CERTH Thessaloniki 57001 Greece Univ Thessaloniki Dept Phys Thessaloniki 54124 Greece Progress Robot Thessaloniki 54645 Greece

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.

关键词： robotics Machine learning Reinforcement learning

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Harnessing IoT and robotics for Comprehensive Human Activity Recognition in Smart Buildings 5th

Harnessing IoT and Robotics for Comprehensive Human Activity...

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5th 5th Olympus - international conference on Supply Chain

作者： Toupas, Petros Tsamis, Georgios Zotou, Dimitra Giakoumis, Dimitrios Votis, Konstantinos Tzovaras, Dimitrios Ctr Res & Technol Hellas Informat Technol Inst Thessaloniki Greece

ISBN: (纸本)9783031693434;9783031693441

the incorporation of Internet of things (IoT) devices and robotics into smart building environments has introduced new opportunities for human activity recognition (HAR). the paper introduces an innovative approach that combines IoT sensors and robotic data to create a complete dataset for Human Activity Recognition (HAR) in smart building settings. the system utilises a synchronised data collection technique to gather information from fixed IoT sensors, wearables, and smart devices, as well as from mobile robots. the dataset obtained includes a wide variety of sensor modalities, such as accelerometers, gyroscopes, microphones, motion sensors, smart plugs, and cameras (thermal, RGB-D). A proposed strategy is presented to tackle the difficulties of multimodal data fusion and classification by fusing all sensor data into a single machine learning model. this study lays the groundwork for future works into Human Activity Recognition (HAR) systems, which involve the integration of multi-sensor settings, sophisticated data fusion algorithms, context-sensitive identification, and tailored support for individuals working or residing in smart environments. the setup of the sensors and use cases of this study were conducted in a smart home environment. Nevertheless, the integrated system can be tailored to suit the requirements of any smart building.

关键词： Multi-Sensor Fusion Data Collection robotics

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iWMS: A Warehouse Management System for a Goods-to-Person Warehouse automation 5th

iWMS: A Warehouse Management System for a Goods-to-Person Wa...

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5th 5th Olympus - international conference on Supply Chain

作者： Zotou, Dimitra Papadam, Stefanos Kargakos, Andreas Kostavelis, Ioannis Bliantidou, Maria Giakoumis, Dimitrios Ioannidis, Dimosthenis Tzovaras, Dimitrios Informat Technol Inst CERTH ITI Ctr Res & Technol Hellas 6 Km Charilaou Thermi Thessaloniki Greece Int Hellen Univ P Kanellopoulou 2 Katerini Greece TETTIX NMORENOS SINGLE MEMBER PC Zone COt 48A Thessaloniki 57400 Greece

ISBN: (纸本)9783031693434;9783031693441

Recently, there has been a surge in the development of advanced warehouse management systems that seamlessly incorporate robotized technologies. these robots have the capability to operate independently or collaborate with human staff to enhance the efficiency of items picking and storage. the paper at hand, introduces an intelligent Warehouse Management System, denoted as iWMS, designed for a goods-to-person warehouse environment. the system is configured to retrieve data of standard format compatible with commercial WMS through an application programming interface (API), while maintaining control over the robotic processes. this work aims to address the development of a software that will analyze incoming and outgoing orders and allocate the task of collecting and distributing bins with an Autonomous Mobile Robot (AMR). the proposed software performs a systematic analysis of incoming orders, linking them with the respective fiducial markers that contain detailed information about the precise location of the relevant bin within the warehouse. Subsequently, the system assigns the task of orders collection to one or more AMRs, taking into account their availability and current positions within the warehouse. this is achieved using an algorithm that maximizes efficiency by optimizing both execution time and travel distances. Additionally, the application consistently updates the stock in the database based on the products identified within the bins, ensuring accurate and real-time stock counting in the warehouse database. the ultimate goal of the iWMS is to provide an easy-to-use tool, allowing the seamless co-existence between the workers and the robotic platforms in a common workplace. this iWMS is part of a robotic warehouse solution currently undergoing testing in simulation.

关键词： Warehouse Management System Order picking robotics goods-to-person

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Automatic Calibration of Tunnel Volume Loss Using Leapfrog and the Limaniv Method 5th

Automatic Calibration of Tunnel Volume Loss Using Leapfrog a...

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5th international conference on Transportation Geotechnics

作者： Crisp, Michael P. Farooq, Noman Nair, Roshan Mott MacDonald Adelaide SA 5069 Australia Mott MacDonald Sydney NSW 2000 Australia

ISBN: (纸本)9789819782239;9789819782215;9789819782208

In increasingly congested cities, tunnels are being used for new transportation routes. It is important to be able to predict the ground movement resulting from tunnel excavation, in order to manage its impact on existing infrastructure. this paper describes a procedure for calibrating settlement trough parameters automatically, using the Limaniv method, in combination with Leapfrog models and Python scripting. this method predicts surface settlement, due to elastic squeezing of an excavated tunnel, due to the weight above that tunnel. this process allows parameters to vary continuously along the tunnel, providing a more accurate settlement prediction, and removing the need to apply overall highly conservative values. A weighting function, derived and presented in this paper, is used to obtain a single equivalent Young's modulus value from multi-layered ground conditions. the code is implemented as a plugin to the Geographical Information systems program, QGIS, and an example is given with a Leapfrog model of a location in Sydney, Australia. Settlement predictions from this approach are validated against numerical modeling.

关键词： Tunnel Volume loss Calibration automation

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Research on Intelligent Question-Answering systems for Electrical Knowledge Based on Large Model Technology 24

Research on Intelligent Question-Answering Systems for Elect...

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5th international conference on Computer Science and Management Technology, ICCSMT 2024

作者： Kong, Weiquan Ge, Jike Yang, Xiaolu Wang, Zining Tan, Jie Yu, Wencheng Chongqing University of Science and Technology Chongqing China

ISBN: (纸本)9798400709999

the intelligent question-answering system for electrical knowledge can be used to popularize electrical knowledge and increase public understanding of the power *** can also serve as an auxiliary tool for training and evaluating the knowledge and skills of industry professionals, improving their *** electrical knowledge question-answering systems often rely on general models and lack specialized optimization for the electrical field, making it challenging for the system to generate more accurate and detailed answers based on domain-specific *** paper proposes PowerGPT, an intelligent question-answering system based on large language models and an electrical knowledge base, which provides knowledge enhancement for answer text *** system uses ChatGLM2-6B as the foundational model and fine-tunes it using ***, the system employs a multi-expert model approach to subdivide the question-answering *** experiments show that PowerGPT outperforms question-answering systems lacking knowledge enhancement, model fine-tuning, and multi-expert models in the field of electrical *** demonstrates different answering strategies for various types of questions, mitigates the issue of model hallucination, and improves the accuracy and automation of electrical knowledge question-answering. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Intelligent Question-Answering System

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Role of Artificial Intelligence in Facilitating Open Innovation in VAT Management 5th

Role of Artificial Intelligence in Facilitating Open Innovat...

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5th 5th Olympus - international conference on Supply Chain

作者： Yordanova, Zornitsa Univ Natl & World Econ Sofia Bulgaria

ISBN: (纸本)9783031693434;9783031693441

In the dynamic landscape of fiscal policy and tax administration, the integration of Artificial Intelligence (AI) within Value-Added Tax (VAT) management systems offers transformative opportunities to enhance efficiency, compliance, and transparency. Amidst a complex global economic environment characterized by intricate transactions and international trade, there is a critical need for innovative approaches to VAT collection and compliance. this study embarks on an exploratory analysis of AI's role in revolutionizing VAT management practices through the prism of open innovation-a paradigm that advocates leveraging external knowledge and technological advancements to drive internal innovation. Utilizing a qualitative research methodology, inclusive of a literature review and case studies, this paper examines the current and potential impacts of AI on VAT management practices. It delves into the application of AI in automating the processing of tax regulations, facilitating data modeling, and enhancing decision-making processes within VAT systems. Furthermore, this research evaluates the contributions of open innovation strategies, such as collaboration with external partners and engagement with user communities, to the development and continuous improvement of AI-enhanced VAT management tools. Drawing insights from interviews with development teams and tax professionals, alongside an examination of documentary evidence, this study presents a novel framework for understanding and advancing AI applications in VAT administration. It highlights the synergistic effects of AI and open innovation in creating more resilient, efficient, and transparent VAT systems. the results show that AI technologies and open innovation practices have a lot of potential to bring VAT management up to date, as long as problems like data privacy, engaging stakeholders, and the fact that tax laws are always changing are properly dealt with. this research contributes to the burgeoning discourse

关键词： Artificial Intelligence Open Innovation Value-added tax Digital Transformation process automation ERP Data Analytics Business Intelligence

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