2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)最新文献_第7页

Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management 基于agent的供应链模拟器多级库存管理贝叶斯优化算法

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216792

Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, T. Matsui, Susumu Serita, Chi Zhang

{"title":"Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management","authors":"Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, T. Matsui, Susumu Serita, Chi Zhang","doi":"10.1109/CASE48305.2020.9216792","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216792","url":null,"abstract":"Supply chain inventory optimization is essential to ensure supply chain efficiency and to increase customer satisfaction. However, it is challenging because of the inherent uncertainties and complex dynamics in real-world supply chains. Researchers and practitioners have turned to simulation-based optimization methods to solve analytically intractable multi-echelon inventory optimization problems. Whereas, simulation-based optimization methods are usually computationally expensive. An efficient optimization procedure will greatly enhance the applicability of these methods. In this paper, we propose a Bayesian optimization approach along with an agent-based supply chain simulator to solve a constrained multi-echelon inventory optimization problem that requires fewer number of interactions with the simulator. Our proposed approach is compared with the most popularly used algorithm, genetic algorithm (GA). The experimental results demonstrate that the proposed method converges to the optimal solution significantly faster than GA.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126910994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Automation of Post-Processing in Additive Manufacturing with Industrial Robots 用工业机器人实现增材制造后处理自动化

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216955

Pascal Becker, Christian Eichmann, A. Rönnau, R. Dillmann

{"title":"Automation of Post-Processing in Additive Manufacturing with Industrial Robots","authors":"Pascal Becker, Christian Eichmann, A. Rönnau, R. Dillmann","doi":"10.1109/CASE48305.2020.9216955","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216955","url":null,"abstract":"The use of industrial robots for the production of small scale manufacturing or even single pieces is rarely economical. The high investment of time and money required to teach a collision-free trajectory under consideration of all boundary conditions prevents the usage of robots until now. That is why it is still common practice in the industry for individual post-processing steps to be carried out manually, although they could be automated with today’s technical possibilities. In this paper, we present an approach on how to use existing production data (STL and G-code) to generate trajectories to automate post-processing steps. These paths can then be executed by an industrial robot, for example to post-process an additive manufactured object and remove its support structures. The object may not be damaged during the process, so all movements of the robot and its tool are checked for collisions with certain parts of the object and the environment. While material is being removed, the corresponding data structure is updated accordingly to always provide a realistic representation of the current state. This approach was evaluated by removing support structures from multiple and different-shaped objects successfully. Furthermore, we used the same approach to mill pockets in material just by changing the input data.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126025766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Consortium blockchain-driven decentralized organization and operation for manufacturing community in social manufacturing 社会化制造中财团区块链驱动的制造社区去中心化组织与运营

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216738

Jiajun Liu, P. Jiang

{"title":"Consortium blockchain-driven decentralized organization and operation for manufacturing community in social manufacturing","authors":"Jiajun Liu, P. Jiang","doi":"10.1109/CASE48305.2020.9216738","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216738","url":null,"abstract":"Recently, social manufacturing emerges to help micro-and-small-scale manufacturing enterprises (MSMEs) to cope with service-oriented, personalized, diverse and dynamic market demand. In social manufacturing, MSMEs are usually peer-to-peer and geographically distributed, and they self-organize into manufacturing communities (MCs) to share their manufacturing resources, order and business benefit. Therefore, the decentralized organization and operation of MCs become an emergency. To solve this problem, a consortium block chain based decentralized mechanism is established for the organization and operation of manufacturing community in social manufacturing, and a corresponding reference framework is proposed to guide MCs to implement decentralized organization and operation. On this basis, three key enabled technologies are elaborated, which are mainly about the determination of verification dataset, the design of smart contract, and the definition of endorsement policy. It is expected that the reference framework proposed in this paper will provide a possible way for MSMEs to organize and operate MC without core enterprise in social manufacturing.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Indoor Localization and Navigation Control Strategies for a Mobile Robot Designed to Inspect Confined Environments 受限环境下移动机器人的室内定位与导航控制策略

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9217005

Adriano M. C. Rezende, G. P. C. Júnior, R. Fernandes, Victor R. F. Miranda, Héctor Azpúrua, G. Pessin, G. Freitas

{"title":"Indoor Localization and Navigation Control Strategies for a Mobile Robot Designed to Inspect Confined Environments","authors":"Adriano M. C. Rezende, G. P. C. Júnior, R. Fernandes, Victor R. F. Miranda, Héctor Azpúrua, G. Pessin, G. Freitas","doi":"10.1109/CASE48305.2020.9217005","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9217005","url":null,"abstract":"Localization is critical for autonomous robot operation, and selecting a suitable method for pose estimation is still a challenging task. In this sense, this paper investigates different localization and navigation control strategies deployed into the EspeleoRobô, a robotic platform designed by the Brazilian mining company Vale S.A. to inspect confined areas. We compare the pose estimation algorithms based on wheel, visual and LiDAR odometry, and also Ultra-Wideband radio signals, all fused with IMU (Inertial Measurement Unit) data. Our experiments consider both teleoperated and autonomous robot operation. The robot’s autonomous navigation is based on an artificial vector fields controller, which uses the different pose estimations as feedback to guide the robot through pre-defined paths. Real experiments performed in indoor environments illustrate the performance of each estimator. Finally, preliminary mapping results states for the LiDAR SLAM (Simultaneous Localization and Mapping) approach as a promising option for practical field operations.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126705062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Grasp Quality Evaluation Network for Surface-to-Surface Contacts in Point Clouds 把握点云中面对面接触质量评价网络

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216808

Jian Ruan, Houde Liu, Anshun Xue, Xueqian Wang, Bin Liang

{"title":"Grasp Quality Evaluation Network for Surface-to-Surface Contacts in Point Clouds","authors":"Jian Ruan, Houde Liu, Anshun Xue, Xueqian Wang, Bin Liang","doi":"10.1109/CASE48305.2020.9216808","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216808","url":null,"abstract":"The problem of grasping is essential in robotics, in which robotic hands grasp target objects by deploying contact force. The contact between robotic hand and target object is always reduced to point-to-point while generally the actual type should be surface-to-surface. In this paper, we propose a novel surface contact model to parameterize the contact area. It computes the grasp quality of the contacts between the robotic hand and target object, then determines whether or not the surface-contact-based end effectors can resist an external wrench on target object. The key idea of the proposed approach is that the contact modeling is based on surface-to-surface contact rather than equivalent contact points which is more in line with the actual situations. Then we propose a grasp quality evaluation network based on surface-to-surface contact to evaluate grasp motion, which can capture the geometric feature of the actual contact area and classify the quality level of input grasp. Experimental results and comparisons with state-of-the-art methods (e.g. GPD and PointNetGPD) demonstrate that our approach could achieve superior performance.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125122179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Cross-Domain Fault Diagnosis with One-Dimensional Convolutional Neural Network* 基于一维卷积神经网络的跨域故障诊断*

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216848

Zichun Wang, Gaowei Xu, Jingwei Wang, Min Liu, Yumin Ma

引用次数: 1

An Improved Genetic Algorithm with Local Search for Dynamic Job Shop Scheduling Problem 动态作业车间调度问题的改进局部搜索遗传算法

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216737

Ming Wang, Peng Zhang, Peng Zheng, Junjie He, Jie Zhang, J. Bao

引用次数: 0

Optimization based path planning for a two-body articulated vehicle 基于优化的两体铰接车辆路径规划

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216948

Deyuan Chen, Zhiqiang Yang, Lars Svensson, Lei Feng

引用次数: 1

Intention-aware motion planning with road rules 意图感知运动规划与道路规则

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9217037

J. Karlsson, Jana Tumova

引用次数: 4

Human-Robot Collaboration using Variable Admittance Control and Human Intention Prediction 利用可变导纳控制和人的意图预测的人机协作

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9217040

Wei-feng Lu, Zhe Hu, Jia Pan

引用次数: 10