The Experts below are selected from a list of 204 Experts worldwide ranked by ideXlab platform

Nikos G. Tsagarakis - One of the best experts on this subject based on the ideXlab platform.

  • IROS - XBotCloud: A Scalable Cloud Computing Infrastructure for XBot Powered Robots
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Luca Muratore, Barry Lennox, Nikos G. Tsagarakis
    Abstract:

    Limitations with the on-board computational resources installed on untethered robots such as humanoids and mobile robots in general affects significantly the performance and capabilities of these machines. An approach to address this issue is to make use of the cloud robotics concept and take advantage of the extensive computational resources of the cloud. XBotCloud is a recently developed component of the XBot framework. It tackles the above challenges by introducing the tools and mechanisms to enable users and robots to exploit the computational resources of the cloud allowing the execution of services with low, soft or hard Real-Time execution/communication performance. The latter is ensured thanks to the functionality provided by the XBotCore Real-Time cross-robot software component of the XBot framework. XBotCloud addresses also one of the main challenges related with cloud robotics: security. To avoid remote attacks it takes advantage of the Amazon Web Services (AWS)Cloud Security and it uses an internal VPN Network to handle the connectivity between the robot and the cloud server. The full implementation of the framework is presented and its functionality is demonstrated in realistic tasks involving pipelines that mix the execution of cloud services with moderate execution time constraints and Real-Time modules running on the robot Local Control Unit. XBotCloud performances and cross-robot flexibility are experimentally validated on two different robotic platforms, the WALK-MAN humanoid and the CENTAURO upper body / full-body.

  • XBotCloud: A Scalable Cloud Computing Infrastructure for XBot Powered Robots
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Luca Muratore, Barry Lennox, Nikos G. Tsagarakis
    Abstract:

    Limitations with the on-board computational resources installed on untethered robots such as humanoids and mobile robots in general affects significantly the performance and capabilities of these machines. An approach to address this issue is to make use of the cloud robotics concept and take advantage of the extensive computational resources of the cloud. XBotCloud is a recently developed component of the XBot framework. It tackles the above challenges by introducing the tools and mechanisms to enable users and robots to exploit the computational resources of the cloud allowing the execution of services with low, soft or hard Real-Time execution/communication performance. The latter is ensured thanks to the functionality provided by the XBotCore Real-Time cross-robot software component of the XBot framework. XBotCloud addresses also one of the main challenges related with cloud robotics: security. To avoid remote attacks it takes advantage of the Amazon Web Services (AWS)Cloud Security and it uses an internal VPN Network to handle the connectivity between the robot and the cloud server. The full implementation of the framework is presented and its functionality is demonstrated in realistic tasks involving pipelines that mix the execution of cloud services with moderate execution time constraints and Real-Time modules running on the robot Local Control Unit. XBotCloud performances and cross-robot flexibility are experimentally validated on two different robotic platforms, the WALK-MAN humanoid and the CENTAURO upper body/full-body.

Luca Muratore - One of the best experts on this subject based on the ideXlab platform.

  • IROS - XBotCloud: A Scalable Cloud Computing Infrastructure for XBot Powered Robots
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Luca Muratore, Barry Lennox, Nikos G. Tsagarakis
    Abstract:

    Limitations with the on-board computational resources installed on untethered robots such as humanoids and mobile robots in general affects significantly the performance and capabilities of these machines. An approach to address this issue is to make use of the cloud robotics concept and take advantage of the extensive computational resources of the cloud. XBotCloud is a recently developed component of the XBot framework. It tackles the above challenges by introducing the tools and mechanisms to enable users and robots to exploit the computational resources of the cloud allowing the execution of services with low, soft or hard Real-Time execution/communication performance. The latter is ensured thanks to the functionality provided by the XBotCore Real-Time cross-robot software component of the XBot framework. XBotCloud addresses also one of the main challenges related with cloud robotics: security. To avoid remote attacks it takes advantage of the Amazon Web Services (AWS)Cloud Security and it uses an internal VPN Network to handle the connectivity between the robot and the cloud server. The full implementation of the framework is presented and its functionality is demonstrated in realistic tasks involving pipelines that mix the execution of cloud services with moderate execution time constraints and Real-Time modules running on the robot Local Control Unit. XBotCloud performances and cross-robot flexibility are experimentally validated on two different robotic platforms, the WALK-MAN humanoid and the CENTAURO upper body / full-body.

  • XBotCloud: A Scalable Cloud Computing Infrastructure for XBot Powered Robots
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Luca Muratore, Barry Lennox, Nikos G. Tsagarakis
    Abstract:

    Limitations with the on-board computational resources installed on untethered robots such as humanoids and mobile robots in general affects significantly the performance and capabilities of these machines. An approach to address this issue is to make use of the cloud robotics concept and take advantage of the extensive computational resources of the cloud. XBotCloud is a recently developed component of the XBot framework. It tackles the above challenges by introducing the tools and mechanisms to enable users and robots to exploit the computational resources of the cloud allowing the execution of services with low, soft or hard Real-Time execution/communication performance. The latter is ensured thanks to the functionality provided by the XBotCore Real-Time cross-robot software component of the XBot framework. XBotCloud addresses also one of the main challenges related with cloud robotics: security. To avoid remote attacks it takes advantage of the Amazon Web Services (AWS)Cloud Security and it uses an internal VPN Network to handle the connectivity between the robot and the cloud server. The full implementation of the framework is presented and its functionality is demonstrated in realistic tasks involving pipelines that mix the execution of cloud services with moderate execution time constraints and Real-Time modules running on the robot Local Control Unit. XBotCloud performances and cross-robot flexibility are experimentally validated on two different robotic platforms, the WALK-MAN humanoid and the CENTAURO upper body/full-body.

Barry Lennox - One of the best experts on this subject based on the ideXlab platform.

  • IROS - XBotCloud: A Scalable Cloud Computing Infrastructure for XBot Powered Robots
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Luca Muratore, Barry Lennox, Nikos G. Tsagarakis
    Abstract:

    Limitations with the on-board computational resources installed on untethered robots such as humanoids and mobile robots in general affects significantly the performance and capabilities of these machines. An approach to address this issue is to make use of the cloud robotics concept and take advantage of the extensive computational resources of the cloud. XBotCloud is a recently developed component of the XBot framework. It tackles the above challenges by introducing the tools and mechanisms to enable users and robots to exploit the computational resources of the cloud allowing the execution of services with low, soft or hard Real-Time execution/communication performance. The latter is ensured thanks to the functionality provided by the XBotCore Real-Time cross-robot software component of the XBot framework. XBotCloud addresses also one of the main challenges related with cloud robotics: security. To avoid remote attacks it takes advantage of the Amazon Web Services (AWS)Cloud Security and it uses an internal VPN Network to handle the connectivity between the robot and the cloud server. The full implementation of the framework is presented and its functionality is demonstrated in realistic tasks involving pipelines that mix the execution of cloud services with moderate execution time constraints and Real-Time modules running on the robot Local Control Unit. XBotCloud performances and cross-robot flexibility are experimentally validated on two different robotic platforms, the WALK-MAN humanoid and the CENTAURO upper body / full-body.

  • XBotCloud: A Scalable Cloud Computing Infrastructure for XBot Powered Robots
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Luca Muratore, Barry Lennox, Nikos G. Tsagarakis
    Abstract:

    Limitations with the on-board computational resources installed on untethered robots such as humanoids and mobile robots in general affects significantly the performance and capabilities of these machines. An approach to address this issue is to make use of the cloud robotics concept and take advantage of the extensive computational resources of the cloud. XBotCloud is a recently developed component of the XBot framework. It tackles the above challenges by introducing the tools and mechanisms to enable users and robots to exploit the computational resources of the cloud allowing the execution of services with low, soft or hard Real-Time execution/communication performance. The latter is ensured thanks to the functionality provided by the XBotCore Real-Time cross-robot software component of the XBot framework. XBotCloud addresses also one of the main challenges related with cloud robotics: security. To avoid remote attacks it takes advantage of the Amazon Web Services (AWS)Cloud Security and it uses an internal VPN Network to handle the connectivity between the robot and the cloud server. The full implementation of the framework is presented and its functionality is demonstrated in realistic tasks involving pipelines that mix the execution of cloud services with moderate execution time constraints and Real-Time modules running on the robot Local Control Unit. XBotCloud performances and cross-robot flexibility are experimentally validated on two different robotic platforms, the WALK-MAN humanoid and the CENTAURO upper body/full-body.

S Fitri Adi T Iskandarianto - One of the best experts on this subject based on the ideXlab platform.

  • rancang bangun Local Control Unit lcu level pada miniplant proses Control laboratorium workshop instrumentasi
    Non Degree Phisics Engineering RSF 629.8 Rac r 2010, 2011
    Co-Authors: S Fitri Adi T Iskandarianto
    Abstract:

    Dalam dunia industri telah umum menggunakan sistem pengendalian otomatis. Karena dapat secara langsung mengontrol proses variabel seperti level, temperature, flow serta pressure yang sesuai dengan kebutuhan industri dengan mengatur set point pada PC. Oleh karena itu dalam tugas akhir ini akan membuat suatu Local Control Unit (LCU) yang menggunakan sistem pengendalian otomatis seperti halnya dalam dunia industri. Proses variabel yang diatur pada tugas akhir ini yaitu level yang sistem pengendaliannya menggunakan PID. Range dari LCU level ini yaitu yaitu 0 cm – 23cm. Sensor yang digunakan yaitu potensiometer yang memiliki range antara 0,6 V – 3,8 V setelah terdapat pengukuran. Kemudian LCU dihubungkan dengan Human Machine Interface (HMI) dengan menggunakan pengendalian PID dengan nilai Kp = 40, Ti = 0,5 dan Td = 1 didapatkan settling time 280 detik, rise time 240 detik dan overshoot 18 cm dari setpoint 15 cm.

  • rancang bangun Local Control Unit lcu flow pada distributed Control systems dcs miniplant workshop instrumentasi
    Undergraduate Theses Physics Engineering RSF 629.8 Rif r 2006, 2010
    Co-Authors: M Ir Syamsul T Arifin, S Fitri Adi T Iskandarianto
    Abstract:

    Penggunaan Distributed Control System (DCS) sebagai sistem kontrol sudah sangat umum pada plant yang berukuran besar dan kompleks. Pada proses yang menggunakan sistem kontrol ini, fungsi kontrol proses didistribusikan pada beberapa Controller individual yang menangani loop yang berbeda-beda. Miniplant workshop instrumentasi terdapat dua buah variabel pengendalian yaitu level dan flow dimana keduanya terdapat dalam satu aliran plant. Pada penelitian sebelumnya sudah dikembangkan sistem kontrol, namun belum terintegrasi antara dua variabel secara bersamaan dan real time atau dengan kata lain fungsi DCS belum terpenuhi. Pada perancangan DCS miniplant workshop instrumentasi, dua variabel kontrol masing-masing ditangani oleh Local Control Unit yang dapat dikendalikan dari workstation server maupun client dan keseluruhan sistem terintegrasi dalam sebuah sistem DCS secara online dan real time. Perancangan sistem ini juga meliputi perancangan sensor DP dengan menggunakan pressure gauge, dimana sudah dapat memenuhi prinsip kerja DP transmitter secara umum dengan sensitivitas 0.48 Volt.

Rajvi Parmar - One of the best experts on this subject based on the ideXlab platform.

  • Local Control Unit for ITER-India gyrotron test facility (IIGTF)
    Fusion Engineering and Design, 2016
    Co-Authors: Vipal Rathod, Ronak Shah, Deepak Mandge, Rajvi Parmar
    Abstract:

    Electron Cyclotron system on ITER, is one of the important RF ancillary systems based on high power Gyrotron RF sources, that is used for plasma heating and current drive applications. To operate a Gyrotron source, various auxiliary systems and services such as Super Conducting Magnet set, High Voltage Power Supplies, Auxiliary Power Supplies, Waveguide components, Cooling water system and a Local Control Unit (LCU) are required. The LCU plays a very crucial role for the safe and reliable operation of Gyrotron system. A dedicated full scale ITER prototype LCU is being developed for testing and commissioning of an ITER like Test Gyrotron at ITER-India Gyrotron Test facility (IIGTF). The main functions of LCU include Sequence Control, Local Interlock Protection and Real Time Data Acquisition. PLC based slow Controller is used for implementing the Sequence Control & Slow Interlock functions. Critical Protection Interlocks are required to have a response time of

  • Local Control Unit for iter india gyrotron test facility iigtf
    Fusion Engineering and Design, 2016
    Co-Authors: Vipal Rathod, Ronak Shah, Deepak Mandge, Rajvi Parmar
    Abstract:

    Electron Cyclotron system on ITER, is one of the important RF ancillary systems based on high power Gyrotron RF sources, that is used for plasma heating and current drive applications. To operate a Gyrotron source, various auxiliary systems and services such as Super Conducting Magnet set, High Voltage Power Supplies, Auxiliary Power Supplies, Waveguide components, Cooling water system and a Local Control Unit (LCU) are required. The LCU plays a very crucial role for the safe and reliable operation of Gyrotron system. A dedicated full scale ITER prototype LCU is being developed for testing and commissioning of an ITER like Test Gyrotron at ITER-India Gyrotron Test facility (IIGTF). The main functions of LCU include Sequence Control, Local Interlock Protection and Real Time Data Acquisition. PLC based slow Controller is used for implementing the Sequence Control & Slow Interlock functions. Critical Protection Interlocks are required to have a response time of <10 μs and are implemented using custom built hardware and PXIe based fast Controller. Also PXIe system is used for implementing Real Time Data Acquisition function that is required to have slow and fast acquisition with online visualization and off line analysis facility. A Signal Conditioning Unit (SCU) is used to interface and faithfully transmit the field signals to the remote Control systems. Necessary Controller hardware is procured and several pre-prototype developments have been taken up to establish the critical subsystems such as protection interlocks and SCU. Software applications for PLC and PXIe systems are being developed using LabVIEWTM and CODAC Core System platforms. Here, we provide an overview of the prototype LCU for IIGTF, which includes the architecture, implementation topology, prototype test results along with the current status.

  • High speed analog fiber optical transmission link based on voltage to frequency converter technique for ITER-India Gyrotron test facility
    2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015
    Co-Authors: Vipal Rathod, Ronak Shah, Deepak Mandge, Rajvi Parmar, S. L. Rao
    Abstract:

    Electron Cyclotron (EC) system is one of the RF auxiliary heating and current drive systems, based on high power, high frequency Gyrotron sources, is used for fusion plasma applications. To test a Gyrotron, various auxiliary systems like super conducting magnet, High Voltage Power Supplies (HVPS), auxiliary power supplies, cooling water system, waveguide components and a Local Control Unit (LCU) are required. LCU plays very crucial role for safe and reliable operation of the Gyrotron system. The LCU consists of Sequence & real time Control, Interlock protection, Real time Data acquisition and signal conditioning. A reliable high speed, precise and high frequency analog signal conditioning/transmission in harsh Electro Magnetic Interference (EMI) environment with ground & high voltage isolation and filtering are utmost requirements for some critical operational parameter transmission; provided by this analog fiber optical link. The critical field signals will be coming from various sub-systems such as high voltage power supplies (-55kV Main HVPS and 35kV Body Power supply) and Gyrotron diagnostic system (RF power, arc signals etc.). It is important to develop a high speed and precision analog fiber optic transmission link for monitoring and acquisition of such critical parameter analysis during operation and post processing. A prototype modular fiber optic analog transmission link has been designed and developed indigenously based on the technology of Voltage-to-Frequency (V/F) and Frequency-to-Voltage (F/V) conversion and successfully tested in laboratory environment. This paper presents requirements, approach, detail design, features and performance test results.