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检索条件"任意字段=18th International Conference on Control Automation Robotics and Vision"

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robotics in petroleum and safety requirements forcing Open Innovation to be embraced

Robotics in petroleum and safety requirements forcing Open I...

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18th international-Federation-of-Automatic-control (IFAC) conference on Technology, Culture and international Stability (TECIS)

作者： Ibrahimov, Bahadur Namazov, Manafaddin TUWien Vienna Austria ARAS Baku Azerbaijan Baku Higher Oil Sch Proc Automat Engn Dept Fac Engn AZ-1025 Baku Azerbaijan

Oil industry heavily invests into new technological developments. In this research the purpose will be to investigate the opportunities and challenges of automation and robotics in the oil and gas industry. Operations to obtain gas and oil from hostile environments is likely to increase the operations costs of the oil and gas companies. therefore, the company must embark on looking on solutions that will lower their costs so that they are more competitive as well as improve their profitability. One of the methods which has been suggested is implements robots to increase efficiency of the pipelines as well as increase the safety of the pipelines. National Oil Companies rule most of the industry but playing a minor role in the research and development. Most of the patents and innovations belong to the small service companies, rather than market giants. One of the challenges to apply technological advancements is Pipeline Inspections, where almost none of the NOC owns an advanced inspection robotics technology, and they outsource from the small service companies. this paper will show the importance of Innovations in oil sector, summarize the safety requirements and standards and give an overview about the robotics in use. Open Innovation approach to be implemented in the industry is the outcome and importance of changing the closed innovation environments has been concluded. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robots pipeline inspection drive mechanism pipeline robots

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Development of a Tetris playing robot controlled by KNR 15

Development of a Tetris playing robot controlled by KNR

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15th IEEE international conference on Mechatronics and automation, ICMA 2018

作者： Wang, Ming Zhang, Yanlu Dong, Huifang Li, Xu Yu, Junzhi Department of Information and Electrical Engineering University of Shandong Jianzhu University Jinan250100 China Department of Intelligent Robotics State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9781538660720

Robot plays an increasingly important role in daily life. this paper presents a vision-based wheeled robot for playing Tetris. How to control the robot is elaborated at length in this paper. the robot adopted a KNR controller as its core controller. With a CCD sensor, it identified colored blocks, lines and the destination. All algorithms are programed with LabVIEW. the experiments and the contest validated the effectiveness of the proposed vision-based wheeled robot system. © 2018 IEEE.

关键词： controllers

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Industrial Challenges when Planning and Preparing Collaborative and Intelligent automation Systems for Final Assembly Stations

Industrial Challenges when Planning and Preparing Collaborat...

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international conference on Emerging Technologies and Factory automation (ETFA)

作者： Atieh Hanna Kristofer Bengtsson Martin Dahl Endre Erős Per-Lage Götvall Mikael Ekström Research & Technology Development Volvo Group Trucks Operations Göteborg Sweden Department of Electrical Engineering Chalmers University of Technology Göteborg Sweden Division of Intelligent Future Technologies Mälardalen University Västerås Sweden

During the last five decades, automation and robotics have transformed the automotive industry by increasing efficiency and improving the product quality. However, future trucks that will be autonomous, electrical and connected will require a completely new type of flexibility and intelligence in the production systems, especially in the final assembly. To handle the increased complexity of the products, production processes and logistic systems, final assembly must be transformed into collaborative and intelligent automation systems. these systems will include collaborative and deliberative robots (cobots), advanced vision-based control, adaptive safety systems, online optimization and learning algorithms and connected and well-informed human operators. But it will be a huge undertaking to transform current trucks industry such that they can design, implement and maintain large scale collaborative and intelligent automation systems. this paper presents the challenges with current planning and preparation processes for final assembly as well as the requirement and possible solutions for the future processes. An industrial use case at Volvo Trucks based on Sequence Planner and ROS2 is used to evaluate the proposed planning and preparation processes.

关键词： Collaboration Planning automation Task analysis Service robots

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A flex-rigid soft robot for flipping locomotion 25

A flex-rigid soft robot for flipping locomotion

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25th international conference on Mechatronics and Machine vision in Practice (M2VIP)

作者： Wang, Jiangbei Fei, Yanqiong Shanghai Jiao Tong Univ Res Inst Robot Shanghai Peoples R China

ISBN: (纸本)9781538675441

this paper presents a flex-rigid soft robot for flipping locomotion. the proposed robot is made into a strip shape and consists of three rigid limbs connected by two active flexible hinges. Its flipping locomotion is achieved by active folding and developing of the hinges. To validate its locomotion ability, experiment is conducted on level ground. the results show that the proposed flex-rigid robot can perform flipping locomotion with average velocity of 60 mm/s.

关键词： soft robotics structure design flipping locomotion kinematics analysis

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vision Based Object Grasping of Robotic Manipulator 24

Vision Based Object Grasping of Robotic Manipulator

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24th IEEE international conference on automation and Computing (ICAC) - Improving Productivity through automation and Computing Newcastle

作者： Ren, Yaqi Sun, Hao Tang, Yin Wang, Shuopeng Hebei Univ Technol Sch Artificial Intelligence & Data Sci Tianjin Peoples R China

ISBN: (纸本)9781862203426

In order to better interact with the complex and unstructured environment and complete the recognition and capture of the target object, a humanoid robot arm control method based on binocular vision applied to the service robot platform is proposed. Firstly, the kinematics model is established for the manipulator, and the forward kinematics and inverse kinematics are analyzed. Target recognition method based color segmentation, then the identified three-dimensional coordinate information of the target controls the robot arm to complete the grab task. In this paper, a blind grasp is performed by the ROBOROT ARM1 manipulator. the experimental results show that the robot can complete the recognition and automatic capture of the target object.

关键词： humanoid manipulator stereo vision feature matching robot grasping

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Acceleration Feedback Enhanced H-{\infty} control of Unmanned Aerial Vehicle for Wind Disturbance Rejection 15

Acceleration Feedback Enhanced H-{\infty} Control of Unmanne...

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15th international conference on control, automation, robotics and vision, ICARCV 2018

作者： Dai, Bo He, Yuqing Zhang, Guangyu Xu, Weiliang Wang, Danwei State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China University of Auckland Auckland1010 New Zealand School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore

ISBN: (纸本)9781538695821

Wind disturbance has alway been a critical challenge for safety flight and high precision control of UAV due to the uncertainty of wind in time and space domain. To this end, an acceleration feedback (AF) enhanced H-{\infty} controller is proposed to enhanced the ability of UAV against wind disturbance and it has been deigned and implemented on a hex-rotor. Firstly, the dynamic of UAV system is decoupled into inner-loop (attitude) and outer-loop (position). then, a hierarchical H-{\infty} controller is designed for the decoupled system. Finally, a AF enhanced method is introduced into the system without changing controller structure. the stability of the AF enhanced method for the UAV system is analyzed and can be ensured by H-{\infty} theory as well. the comparison results of trajectory tracking performance between H-{\infty} controller and AF enhanced H-{\infty} controller under continuous and gusty wind verify that the proposed method is not only robust but effective for both types of wind disturbances. © 2018 IEEE.

关键词： controllers

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Web-based Wireless Wake-on-LAN approach for Robots 24

Web-based Wireless Wake-on-LAN approach for Robots

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24th IEEE international conference on automation and Computing (ICAC) - Improving Productivity through automation and Computing Newcastle

作者： Aagela, Hamza Al-Jody, Taha Holmes, Violeta Univ Huddersfield Comp & Engn Huddersfield W Yorkshire England

ISBN: (纸本)9781862203426

the ability to wake up robots over a wireless LAN remotely can improve the power consumption performance of remote robots or cloud robotics system. this paper presents a solution for power management of a mobile robot, using web-based wireless Wake-on-LAN (WWoL). the focus in on power management of a mobile robot, but this approach is also suitable for most of the IoT mobile devices, and other systems that are designed to be used remotely. the proposed solution allows the targeted device to be powered ON and OFF remotely via a web-based dashboard. this approach was validated in a case study with an AR drone 2.0 and demonstrated substantial power optimization for the drone. In addition, security issues are explored when WWoL is deployed in remote control of mobile devices. It was established that power consumption is reduced when the drone is in a standby mode waiting for an operator to send a wake-on request message wirelessly, without compromising security posed by wireless remote access to the devices.

关键词： component WWoL robotics IoT

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An Innovative robotics Stowing Strategy for Inventory Replenishment in Automated Storage and Retrieval System 15

An Innovative Robotics Stowing Strategy for Inventory Replen...

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15th international conference on control, automation, robotics and vision, ICARCV 2018

作者： Chong, Zheng-Hao Luxman, Ramamoorthy Pang, Wee-Ching Yi, Zhao Meixuan, Ren Tju, Hendra Suratno Causo, Albert Chen, I-Ming Robotics Research Centre School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781538695821

Modern automated warehouses are equipped with one or many expensive and sophisticated equipment, such as palletizing robots, automated guided vehicles as well as an automated storage and retrieval system (AS/RS). these equipment are operated manually at many levels. these manual interruptions are accompanied by disadvantages of slow storage and retrieval speed, high operating costs and high frequency of errors in the operations. this paper presents an approach for efficient robotic stowing of items for inventory replenishment in a storage system. the objective is to enable a robotic arm system to stow items into a storage bin system and automatically generate a file to indicate which bin each object is stowed to. this would require a robust object recognition imbued with recognition history such that a previously recognized object is remembered as being stowed, even if it has been obscured by other objects subsequently during the task. A feature confidence aggregation strategy has been implemented to analyze a sequence of images containing a number of objects that are added to the storage system sequentially. the strategy is based on a weighted aggregation of ranked machine-learned classification scores and feature-matching recognition scores. this method is able to produce a high recognition rate and has been applied in the Amazon Robotic Challenge 2017 by Team Nanyang. © 2018 IEEE.

关键词： robotics

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Approximate recursive Bayesian estimation of state space model with uniform noise 15

Approximate recursive Bayesian estimation of state space mod...

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15th international conference on Informatics in control, automation and robotics, ICINCO 2018

作者： Pavelková, Lenka Jirsa, Ladislav Institute of Information Theory and Automation Czech Academy of Sciences Pod Vodárenskou věží 4 Prague Czech Republic

ISBN: (纸本)9789897583216

this paper proposes a recursive algorithm for the state estimation of a linear stochastic state space model. A model with discrete-time inputs, outputs and states is considered. the model matrices are supposed to be known. A noise of the involved model is described by a uniform distribution. the states are estimated using Bayesian approach. Without using an approximation, the complexity of the posterior probability density function (pdf) increases with time. the paper proposes an approximation of this complex pdf so that a feasible support of the posterior pdf is kept during the estimation. the state estimation consists of two stages, namely the time and data update including the mentioned approximation. the behaviour of the proposed algorithm is illustrated by simulations and compared with other methods. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Linear systems

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Improved cloud partitioning sampling for iterative closest point: Qualitative and quantitative comparison study 15

Improved cloud partitioning sampling for iterative closest p...

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15th international conference on Informatics in control, automation and robotics, ICINCO 2018

作者： Neto, Polycarpo Souza Pereira, Nicolas S. thé, George A.P. Department of Teleinformatic Engineering Federal University of Ceara Fortaleza Pici campus Bl 725 60455-970 Brazil

ISBN: (纸本)9789897583216

In 3D reconstruction applications, an important issue is the matching of point clouds corresponding to different perspectives of a given object in a scene. Traditionally, this problem is solved by the use of the Iterative Closest point (ICP) algorithm. In view of improving the efficiency of this technique, authors recently proposed a preprocessing step which works prior to the ICP algorithm and leads to faster matching. In this work, we provide some improvements in our technique and compare it with other 4 variations of sampling methods using a RMSE metric, an Euler angles analysis and a modification structural similarity (SSIM) based metric. Our experiments have been carried out on four different models from two different databases, and revealed that our cloud partitioning approach achieved more accurate cloud matching, in shorter time than the other techniques. Finally we tested the robustness of the technique adding noise and occlusion, obtaining, as in the other tests, superior performance. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Computer vision

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