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检索条件"任意字段=5th International Conference on Robotics and Automation Systems, Robotics 2010"

共 1359 条记录，以下是501-510 订阅

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Statistical Properties and Temporal Properties of Calling Behavior 5

Statistical Properties and Temporal Properties of Calling Be...

引用

5th IEEE international conference on Computer and Communications, ICCC 2019

作者： Gui, Jun Zheng, Zeyu Zhao, Xuefeng Qin, Zhaobo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Shenyang University of Technology School of Information Science and Engineering Shenyang110870 China

ISBN: (纸本)9781728147437

Modern information technology makes it possible to understand, model and predict human activities by analyzing electronic traces of human behavior. In this work, we analyze more than 30 million Call Data Records (CDRs) to investigate statistical properties and temporal properties of calling behavior. We find that ranked call frequency of each number can be described by a two-stage power law function. the distribution of call duration is much different and can be described by a bimodal log-normal function. Further, we confirm that both call frequency and call duration are related with circadian cycles. During daylight, call duration is strongly correlated with call frequency. However, during evening and midnight, the pattern of call duration is much different with the pattern of call frequency. Our findings have significant impact on modeling human calling activity and optimizing telecommunication services. © 2019 IEEE.

关键词： Telecommunication services

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Abnormal State Detection for Rolling Bearings Using DBSE Approach 5

Abnormal State Detection for Rolling Bearings Using DBSE App...

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5th IEEE international conference on Computer and Communications, ICCC 2019

作者： Gui, Jun Zheng, Zeyu Zhao, Xuefeng Qin, Zhaobo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China School of Information Science and Engineering Shenyang University of Technology Shenyang110870 China

ISBN: (纸本)9781728147437

Rolling bearings play an important role in mechanical equipment. Abnormal state detection of rolling bearings is significant to avoid industrial accident. In this paper, we use Distribution-based States Extraction (DBSE) approach to detect and analyze the abnormal state of rolling bearings. We apply DBSE approach on three different datasets. Each dataset contains time series of horizon acceleration and vertical acceleration right before a specific fault of a rolling bearing. the results show that the DBSE is able to extract normal states and abnormal states before all three faults and effective for fault prediction. By analyzing statistical properties of two states for all three faults, we find distributions of acceleration data on two states are quite different. Further more, we find that standard deviations are more effective to describe features of different states than means of acceleration data. Our finding are great useful for abnormal detection and fault prediction. © 2019 IEEE.

关键词： Extraction

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Multi-Task Hierarchical Imitation Learning for Home automation 15

Multi-Task Hierarchical Imitation Learning for Home Automati...

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15th IEEE international conference on automation Science and Engineering (IEEE CASE)

作者： Fox, Roy Berenstein, Ron Stoica, Ion Goldberg, Ken Univ Calif Berkeley EECS Berkeley CA 94720 USA Univ Calif Berkeley CITRIS Berkeley CA USA Univ Calif Berkeley IEOR Berkeley CA USA

ISBN: (纸本)9781728103563

Control policies for home automation robots can be learned from human demonstrations, and hierarchical control has the potential to reduce the required number of demonstrations. When learning multiple policies for related tasks, demonstrations can be reused between the tasks to further reduce the number of demonstrations needed to learn each new policy. We present HIL-MT, a framework for Multi-Task Hierarchical Imitation Learning, involving a human teacher, a networked Toyota HSR robot, and a cloud-based server that stores demonstrations and trains models. In our experiments, HIL-MT learns a policy for clearing a table of dishes from 11.2 demonstrations on average. Learning to set the table requires 19 new demonstrations when training separately, but only 11.6 new demonstrations when also reusing demonstrations of clearing the table. HIL-MT learns policies for building 3- and 4-level pyramids of glass cups from 8.2 and 5 demonstrations, respectively, but reusing the 3-level demonstrations for learning a 4-level policy only requires 2.7 new demonstrations. these results suggest that learning hierarchical policies for structured domestic tasks can reuse existing demonstrations of related tasks to reduce the need for new demonstrations.

关键词： Task analysis Servers Training Glass Robot sensing systems Buildings

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Distributed Coverage Control of Quadrotor Multi-UAV systems for Precision Agriculture 6th

Distributed Coverage Control of Quadrotor Multi-UAV Systems ...

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6th international-Federation-of-Automatic-Control (IFAC) conference on Sensing, Control and automation Technologies for Agriculture (AGRICONTROL)

作者： Elmokadem, Taha Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW Australia

A distributed control strategy of multi quadrotor UAV systems is proposed in this work to address area coverage in precision agriculture. It adopts a region-based control approach by restricting the motion of UAVs within a desired dynamical region with planned dynamics while providing collision avoidance between UAVs. Voronoi partitions that can be computed in a distributed way are used to determine UAVs positions within the moving region which provides a robust and scalable solution. Simulations are done using Gazebo and Robot Operating System (ROS) to evaluate the performance of the proposed method showing good results. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Sensing and automation with UAVs automation and robotics in Agriculture Robust Control systems for Agriculture Crop Monitoring Wireless Sensor Network Coverage Control Multi-UAV System

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Slip signal analysis on a Baxter robot 5th

Slip signal analysis on a Baxter robot

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5th IFAC conference on Intelligent Control and automation Sciences (ICONS)

作者： Trimble, Shane Naeem, Wasif McLoone, Sean Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast BT7 1NN Antrim North Ireland

the Baxter robot by Rethink robotics is a dual arm collaborative platform, which can perform multiple tasks and is designed for use in an unstructured environment. Such robotic manipulators working in tandem have certain advantages over single arms when manipulating heavy or large, awkwardly shaped objects. With the attachment of two custom 3D -printed end-effectors, the robot gains the ability to push and hold objects of this kind. this paper deals with the preliminary steps in creating a reliable controller feedback signal using the robot's on-board torque and positioning sensors. Determining the best joint signal and designing a suitable filter are two challenges that are addressed. the paper concludes that the torque values from the centre wrist joint undergo the largest increase in value caused by vibrations during slip. A filtering array technique is also proposed, successfully removing unwanted noise from the torque signal, allowing slip events to be effectively isolated. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Slip detection robotics signal processing intelligent manufacturing

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Computer Modeling of Control the thermal Imaging System Surveillance 7th

Computer Modeling of Control the Thermal Imaging System Surv...

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7th international conference on Finite Difference Methods, FDM 2018

作者： Akimenko, Tatiana Filippova, Ekaterina Department of Robotics and Automation Tula State University Tula300012 Russia

ISBN: (纸本)9783030115388

the diagnostics of the thermal imaging device, consisting in obtaining a thermal image of test objects and comparing it with the thermal image of a reference thermal imaging device, is presented. Relative coordinates, radiation temperature of elements and other characteristics are determined on the thermal image of the test objects of the thermovision device to be diagnosed, then the thermal imaging of the test objects of the reference thermal imager is selected. © 2019, Springer Nature Switzerland AG.

关键词： Infrared imaging

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Assessment of Upper Limb Tremors in Patients with Parkinson's Disease Based on Displacement and Acceleration Information

Assessment of Upper Limb Tremors in Patients with Parkinson'...

引用

automation, Control and robotics Engineering (CACRE), international conference on

作者： Haoran Wu Yanan Zhang Xi Wu Fan Yang School of Mechatronic Engineering and Automation Shanghai University Changhai Hospital

ISBN: (数字)9781728198880

ISBN: (纸本)9781728198897

To examine the consistency between upper limb tremor scores for patients with Parkinson's disease(PD) obtained after comprehensively processing and modeling limb displacement and acceleration information and doctors' scores and to refine the scores. In this way, wearable devices can be used to assist doctors' treatment and improve their work efficiency. Seventeen PD patients wearing detection devices completed the standard movements stipulated in Part III of the Unified Parkinson's Disease Rating Scale for examining resting and postural tremors(RTs and PTs), during which the acceleration signals(ASs) of the patients' movements were collected. the AS and DS are denoised by using the designed wavelet automatic filtering process. A sliding window is used to select the most obvious period of tremor during detection. then extract the characteristic values from time domain, frequency domain and spectral domain respectively, and explore the most suitable model method for this study. In terms of reflecting the physical characteristics of tremors, the AS and DS eigenvalue sets each had their own advantages. For the RTs, there were stronger correlations between the AS eigenvalue set and doctors' scores. the average correlation coefficients(rs) of the AS and DS eigenvalue sets were 0.798(0.630–0.895, at the 95% confidence interval) and 0.731(0.522–0.857, at the 95% confidence interval), respectively. It was the opposite for the PTs, where the average rs of the AS and DS eigenvalue sets were 0.759(0.566–0.873, at the 95% confidence interval) and 0.845(0.709–0.920, at the 95% confidence interval), respectively. the results showed that compared to the support vector machine, random forest and multivariate linear regression models, the neural network model had higher accuracy(the accuracy for RT and PT scores were 0.953 and 0.912, respectively). Using a combination of ASs and DSs can effectively simulate doctors' scores for RTs and PTs in the upper limbs of PD patients.

关键词： parkinson's tremor quantitative scoring wearable device machine learning

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Trends in Production automation 19

Trends in Production Automation

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19th international-Federation-of-Automatic-Control (IFAC) conference on Technology, Culture and international Stability (TECIS)

作者： Kopacek, P. TU Wien Inst Mech & Mechatron IHRT Favoritenstr 9-11-E325 A4 A-1040 Vienna Austria

Process - and manufacturing automation as well as robotics are currently one of the fastest growing fields in automation. Cyber-physical systems, industry 4.0 and "advanced robots" are not longer a headline. Production 4.0 is in realization but production 5.0 is knocking on the door. Production 4.5 was introduced one year ago as an immediate step for small and medium enterprises. they are some first dreams on production 6.0. An important part of production automation is (semi) automated assembly. this topic is currently only outlined in the literature with some description of laboratory tests. Concerning of one of the scopes of TECIS "End of life management - EoL" an important part (semi) automated disassembly is currently missing in all of these concepts. therefore in this contribution first ideas on (semi) automated disassembly 4.0 including new tasks for "advanced" robots will be given and shortly discussed. As a consequence of these developments new social, ethical and human questions appear. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Manufacturing automation Robots Social aspects Ethics

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Investigation of Optimal Network Architecture for Asparagus Spear Detection in Robotic Harvesting 6th

Investigation of Optimal Network Architecture for Asparagus ...

引用

6th international-Federation-of-Automatic-Control (IFAC) conference on Sensing, Control and automation Technologies for Agriculture (AGRICONTROL)

作者： Peebles, M. Lim, S. H. Duke, M. McGuinness, B. Univ Waikato Sch Engn Hamilton New Zealand

the University of Waikato, in collaboration with robotics Plus Limited have developed a robotic asparagus harvester that utilises a convolutional neural network for spear detection. this paper serves as a starting point for selecting an optimal network architecture for this purpose. Specifically, this paper compared the performance of Faster RCNN (FRCNN) and Single Shot Multibox Detector (SSD) on a dataset collected by the harvesters camera systems during field trials in California. Additionally, the effect of labelling the dataset using both a single-class and multi-class paradigm were evaluated. It was found that FRCNN, trained using a single-class paradigm, had the best performance of the tested networks. this was characterized by a F1 score of 0.73, approximately 38% higher other networks tested. Multi-class labelling paradigms were found to result in approximately 27% reduction in F1 score than Single-class labelling paradigms for both FRCNN and SSD. Based on these results we conclude that FRCNN based detectors are better suited for asparagus detection than SSD based detectors. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： asparagus asparagus harvesting robotics robotic harvesting agricultural automation SSD Faster RCNN neural networks applied neural networks

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3D Vision for Precision Dairy Farming 6th

3D Vision for Precision Dairy Farming

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6th international-Federation-of-Automatic-Control (IFAC) conference on Sensing, Control and automation Technologies for Agriculture (AGRICONTROL)

作者： O'Mahony, Niall Campbell, Sean Carvalho, Anderson Krpalkova, Lenka Riordan, Daniel Walsh, Joseph Inst Technol Tralee IMaR Res Ctr Tralee Co Kerry Ireland

3D vision systems will play an important role in next-generation dairy farming due to the sensing capabilities they provide in the automation of animal husbandry tasks such as the monitoring, herding, feeding, milking and bedding of animals this paper will review 3D computer vision systems and techniques that are and may be implemented in Precision Dairy Farming. this review will include evaluations of the applicability of Time of Flight and Streoscopic Vision systems to agricultural applications as well as a breakdown of the categories of computer vision algorithms which are being explored in a variety of use cases. these use cases range from robotic platforms such as milking robots and autonomous vehicles which must interact closely and safely with animals to intelligent systems which can identify dairy cattle and detect deviations in health indicators such as Body Condition Score and Locomotion Score. Upon analysis of each use case, it is apparent that systems which can operate in unconstrained environments and adapt to variations in herd characteristics, weather conditions, farmyard layout and different scenarios in animal-robot interaction are required. Considering this requirement, this paper proposes the application of techniques arising from the emerging field of research in Artificial Intelligence that is Geometric Deep Learning. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： automation and robotics in Agriculture Sensing and automation in Animal Fanning

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