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检索条件"任意字段=5th International Conference on Informatics in Control, Automation and Robotics"

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Lessons learned about language learning and extended reality frameworks 5

Lessons learned about language learning and extended reality...

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5th international conference of the Virtual and Augmented Reality in Education, VARE 2019

作者： Iacono, Saverio Vercelli, Gianni Department of Informatics Bioengineering Robotics and System Engineering University of Genova Italy

ISBN: (纸本)9788885741423

the knowledge of a second language is an obligation in educational systems of the European Community for many years and the quality of teaching and learning, especially in Italy, could be largely improved for a better outcome. Methods like Game-based Learning and Gamification could improve and change this outcome, combined with new tools used as educational technology in an immersive context. this paper presents some lessons learned from the adoption of VR / AR within two applications related to language learning. In this context, being immersed in an engaging and fun simulated situation is a good way to practice language conversations. In the last few years the great clamor of new VR / AR devices (HMD, controller, tracker) promotes the creation of new frameworks of extended reality for language learning. © 5th international conference of the Virtual and Augmented Reality in Education, VARE 2019. All rights reserved.

关键词： Educational technology

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Overtaking Behavior Simulation of Vehicle Platoon in Face-to-Face Traffic Flow 4

Overtaking Behavior Simulation of Vehicle Platoon in Face-to...

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4th international conference on robotics and automation Engineering, ICRAE 2019

作者： Kita, Eisuke Sakamoto, Hiroki Tamaki, Tatuhiro Graduate School of Informatics Nagoya University Nagoya Japan Graduate School of Information Science Nagoya University Nagoya Japan National Institute of Technology Okinawa College Nago Japan

ISBN: (纸本)9781728147406

Vehicle Platoon is the important technique for increasing the traffic capacity of road network safely. Our research group has been studying the velocity control model of the vehicle in the vehicle platoon. Previous studies focus on the control of vehicle in the platoon in order to make the platoon stable. the aim of this study is to control the vehicle velocity when a vehicle platoon overtakes a frontal vehicle without colliding with a vehicle traveling in the other lane. the velocity control model is defined as the vehicle following model. the validity of the model is confirmed in the computer simulation and the experiment of LEGO MINDSTORM. the results show that comparison of simulation and experiment shows that the experiment results agree well with the simulation results. © 2019 IEEE.

关键词： Velocity control

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Dynamic Modeling for Dielectric Elastomer Actuators Based on LSTM Deep Neural Network

Dynamic Modeling for Dielectric Elastomer Actuators Based on...

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international conference on Advanced robotics and Mechatronics (ICARM)

作者： Huai Xiao Jundong Wu Wenjun Ye Yawu Wang School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geosciences Wuhan Hubei China Gina Cody School of Engineering and Computer Science Concordia University Montreal Quebec Canada

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

this paper proposes a dynamic model for dielectric elastomer actuators (DEAs) based on the long-short term memory (LSTM) deep neural network. the fabrication of the DEA and the framework of the experimental platform are introduced firstly. the behaviors of the DEA are analyzed through several sets of experiments, which shows the DEA has obvious memory behavior (i.e., the hysteresis behavior and creep behavior), where the hysteresis behavior is a symmetry and rate-dependence. Considering that the traditional neural network is difficult to describe the memory property, the LSTM deep neural network is constructed as the dynamic model of the DEA. then, such neural network is trained according to the experimental data. Finally, the comparation results of the experimental data and the model output verify the effectiveness as well as the generalization ability of the dynamic model.

关键词： Mathematical model Neural networks Hysteresis Actuators Logic gates Soft robotics

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Using Entropy Estimation to Detect Moving Objects 5

Using Entropy Estimation to Detect Moving Objects

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5th IEEE international conference Actual Problems of Unmanned Aerial Vehicles Developments, APUAVD 2019

作者： Kondratieva, I.U. Rudakova, H.V. Polyvoda, O.V. Lebedenko, Yu.O. Polyvoda, V.V. Automation Kherson National Technical University Robotics and Mechatronics Department Kherson Ukraine Kherson State Maritime Academy Ship Electrical Equipment and Automatic Devices Operation Department Kherson Ukraine

ISBN: (纸本)9781728125923

the article is devoted to the problems of analysis of the informative part of acoustic signals in the UAV control system. A method of determining the frequency range of the informative part of a signal based on the estimation of the normalized energy spectrum and spectral entropy is proposed. the sequence of steps for determining the range of the informative part of the signal, consisting of the calculation of the spectrum of the signal and the normalized energy spectrum, its digital processing, the calculation of the entropy of the spectrum, the median smoothing, logic-time processing. the results of experimental acoustic signal processing for different frame length values are analyzed. Graphic representations of the acoustic signal, spectral entropy values and logic function are given. © 2019 IEEE.

关键词： Entropy

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Implementation of DV-Hop Algorithm For Mobile Robot Navigation 5

Implementation of DV-Hop Algorithm For Mobile Robot Navigati...

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IEEE 5th international conference for Convergence in Technology (I2CT)

作者： Malhotra, Aman Malhotra, Abhishek Patil, Yashika SRMIST Dept Mechatron Kattankulathur India Symbiosis CSE Dept Pune Maharashtra India

ISBN: (纸本)9781538680759

Localization is the process of mapping and locating objects inside a closed or fixed bounded room. the process of localization is helpful in robotics as it allows the understanding of the environment around the robot. the localization technique which is helpful for the mapping of a room includes lidar and other mapping technique. the process of lidar mapping allows to have a better control and detailed analysis of objects, but this process is extremely difficult and costly. the process of mapping is thus replaced with a GPS system. the present GPS system is not capable enough to give a very high and precise location as there are error issues with these systems. the presented paper shows a very high and precise system to display and function the location mapping and localization process with the use of wifi network and implementation on mobile robotics. the presented work used DV-Hop Algorithm for the process of finding the location of the robot.

关键词： Wi-Fi heat map Mobile robotics localization area allocation Wi-Fi mapping

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Towards Machine Learning based Real-time Fault Identification and Classification in High Power Induction Motors

Towards Machine Learning based Real-time Fault Identificatio...

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international conference on robotics and automation Engineering (ICRAE)

作者： Usman Ali Rehan Hafiz Tauseef Tauqeer Usman Younis Waqas Ali Asrar Ahmad Faculty of Engineering Information Technology University Lahore Pakistan Industrial Monitoring and Automation Laboratory National Center of Robotics and Automation Pakistan University of Engineering & Technology Lahore Pakistan Shafi-Reso Chemicals (Pvt.) Ltd Lahore Pakistan

ISBN: (数字)9781728189819

ISBN: (纸本)9781728189826

Motor current signature analysis and vibration analysis techniques have been used for the identification and classification of faults in high power induction motors. Fast fourier transform has been applied to the time domain stator current signal and vibration signal of the induction motor. A comparison of the frequency spectrum has been performed between healthy and unhealthy motor current and vibration signals. Five different machine learning classification algorithms have been used to evaluate the performance of the induction motor. the developed system provides a cost-effective and real-time alternative to the conventional off-line induction motor condition monitoring systems.

关键词： Induction motors Rotors Stator windings Vibrations Machine learning Bars Air gaps

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Stability control for Medical Rescue Robot in Unconstructed Environment

Stability Control for Medical Rescue Robot in Unconstructed ...

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international conference on Advanced robotics and Mechatronics (ICARM)

作者： Hui Peng Meiping Wu Huimin Lu Junhao Xiao Chuang Cheng Jiehao Li Robotics Research Center College of Intelligence Science and Technology National University of Defense Technology Changsha China School of Automation Beijing Institute of Technology Beijing China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

the mobile manipulators have become more and more popular because of its flexible operation space. However, how to protect the people on the mobile rescue robot to against the impact from unconstructed environments like the battle field or disaster is still an underexplored problem. the stability control problem is addressed in this article by devising a disturbances rejection method for medical rescue robot. We indicate that the designed method keep the posture of the end of the manipulator stable by controlling the motors of pitching direction and rolling direction. the vertical vibration can be weakened by the damping system of the rescue robot, such as spring, damper and damping materials. the wounded carried by manipulator of the rescue robot may not suffer secondary damage as the end of the manipulator always remain stable. Simulations implementations are performed to validate the proposed method and performance metric with a mobile rescuing manipulator.

关键词： Manipulators Attitude control Compounds Rescue robots Legged locomotion

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Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot

Time-Optimal Trajectory Planning Based on Dynamics for Indus...

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

作者： Rundong Wang Minxiu Kong Yanchun Cheng Marco Castellani School of Mechatronics Engineering Harbin Institute of Technology State Key Laboratory of Robotics and System University of Birmingham Department of Mechanical Engineering

ISBN: (数字)9781728198880

ISBN: (纸本)9781728198897

Given the trajectory of the industrial robot in Cartesian space, the existing methods only consider the kinematic constraints when optimizing the time trajectory planning, and ignore the maximum driving ability of the motor, which is likely to cause an overrun alarm and greatly reduce the trajectory accuracy. therefore, this paper studies the timeoptimal trajectory planning algorithm based on dynamics. Firstly, the algorithm discretizes the path, calculates the Cartesian coordinates of each discrete point and the differential about the path length. then, this algorithm considers the constraints of dynamics and kinematics, uses the principle of linear programming, recursively calculates the upper limit value of speed and the maximum acceleration value at each discrete point, and calculates the speed value at each discrete point and keeps it within its allowable ranges. Finally, this algorithm uses the speed to calculate the corresponding time of each discrete point, and according to the interpolation period, outputs the path position of each period, the position and orientation in the Cartesian space and joint parameters. the MATLAB program is written to verify the feasibility and efficiency of the algorithm.

关键词： industrial robot trajectory planning time-optimal dynamics multiple constraints

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Student Modeling Using Educational Data Mining Techniques 6

Student Modeling Using Educational Data Mining Techniques

引用

6th international conference on Advanced control Circuits and Systems and 5th international conference on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2019

作者： Khodeir, Nabila Electronics Research Institute Informatics Research Department Dokki Giza Egypt

ISBN: (纸本)9781728163543

Educational Data Mining (EDM) is a research area which applies machine learning, data mining and statistical techniques to different types of data that come from educational settings. Student modeling is one of EDM applications that used to recommend or adapt the educational system resources. this paper explores the different educational systems and their characteristics. In addition, modeling of the student learning style, affective state, and prediction of the student performance are addressed. Profiling, grouping students and collaboration analysis are also explored. © 2019 IEEE.

关键词： Students

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Power Amplifier for RF Long Range Wide Area Monitoring and control of Urban Farm 5

Power Amplifier for RF Long Range Wide Area Monitoring and C...

引用

5th international conference on Wireless and Telematics, ICWT 2019

作者： Amin, Mukhtar Alam, Basuki Rachmatul Shalannanda, Wervyan Bandung Institute of Technology Microelectronics Engineering School of Electrical Engineering and Informatics Bandung Institute of Technology Electronics Research Group School of Electrical Engineering and Informatics Bandung Institute of Technology Telecommunication Engineering Research Group School of Electrical Engineering and Informatics

ISBN: (纸本)9781728147963

AB class power amplifier (PA) is designed for long range wide area monitoring and control of urban farm. the PA is part of transceiver device which operates on 2.4 GHz frequency and 22 MHz bandwidth. the design is carried out by determining DC bias, completing the bias network with load pull analysis and impedance matching, and converting the resulting design to layout. the design process is done using Advanced Design System (ADS) software. QPSK modulated signal is used to simulate and compare signal spectrum before entering and after entering the power amplifier. © 2019 IEEE.

关键词： Power amplifiers

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