The Experts below are selected from a list of 132 Experts worldwide ranked by ideXlab platform

Kerstin Thurow - One of the best experts on this subject based on the ideXlab platform.

  • IAS - Multiple Mobile Robot Management System for Transportation Tasks in Automated Laboratories Environment
    Intelligent Autonomous Systems 15, 2018
    Co-Authors: Ali A. Abdulla, Steffen Junginger, Xiangyu Gu, Norbert Stoll, Kerstin Thurow
    Abstract:

    This paper introduces a new multiple mobile robot management strategies for transportation tasks in automated laboratories environment. In this strategy, two aspects have been considered. First, the appropriate robot selection method which is either based on the highest charging level or based on the nearest robot to the transportation station. The other aspect is the robot-robot interaction which employs for robots collision avoidance especially in the narrow area (corridors). Server/client communication sockets with TCP/IP Command Protocol are employed for data transmission. A series of experiments have been performed to validate the performance of the presented strategy.

  • Mobile Robot for Life Science Automation
    International Journal of Advanced Robotic Systems, 2013
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    The paper presents a control system for mobile robots in distributed life science laboratories. The system covers all technical aspects of laboratory mobile robotics. In this system: (a) to get an accurate and low-cost robot localization, a method using a StarGazer module with a number of ceiling landmarks is utilized; (b) to have an expansible communication network, a standard IEEE 802.11g wireless network is adopted and a XML-based Command Protocol is designed for the communication between the remote side and the robot board side; (c) to realize a function of dynamic obstacle measurement and collision avoidance, an artificial potential field method based on a Microsoft Kinect sensor is used; and (d) to determine the shortest paths for transportation tasks, a hybrid planning strategy based on a Floyd algorithm and a Genetic Algorithm (GA) is proposed. Additionally, to make the traditional GA method suitable for the laboratory robot's routing, a series of optimized works are also provided in detail. Two experiments show that the proposed system and its control strategy are effective for a complex life science laboratory.

  • CASE - A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation
    2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based Command Protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.

  • A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation
    2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based Command Protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.

Norbert Stoll - One of the best experts on this subject based on the ideXlab platform.

  • IAS - Multiple Mobile Robot Management System for Transportation Tasks in Automated Laboratories Environment
    Intelligent Autonomous Systems 15, 2018
    Co-Authors: Ali A. Abdulla, Steffen Junginger, Xiangyu Gu, Norbert Stoll, Kerstin Thurow
    Abstract:

    This paper introduces a new multiple mobile robot management strategies for transportation tasks in automated laboratories environment. In this strategy, two aspects have been considered. First, the appropriate robot selection method which is either based on the highest charging level or based on the nearest robot to the transportation station. The other aspect is the robot-robot interaction which employs for robots collision avoidance especially in the narrow area (corridors). Server/client communication sockets with TCP/IP Command Protocol are employed for data transmission. A series of experiments have been performed to validate the performance of the presented strategy.

  • Mobile Robot for Life Science Automation
    International Journal of Advanced Robotic Systems, 2013
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    The paper presents a control system for mobile robots in distributed life science laboratories. The system covers all technical aspects of laboratory mobile robotics. In this system: (a) to get an accurate and low-cost robot localization, a method using a StarGazer module with a number of ceiling landmarks is utilized; (b) to have an expansible communication network, a standard IEEE 802.11g wireless network is adopted and a XML-based Command Protocol is designed for the communication between the remote side and the robot board side; (c) to realize a function of dynamic obstacle measurement and collision avoidance, an artificial potential field method based on a Microsoft Kinect sensor is used; and (d) to determine the shortest paths for transportation tasks, a hybrid planning strategy based on a Floyd algorithm and a Genetic Algorithm (GA) is proposed. Additionally, to make the traditional GA method suitable for the laboratory robot's routing, a series of optimized works are also provided in detail. Two experiments show that the proposed system and its control strategy are effective for a complex life science laboratory.

  • CASE - A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation
    2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based Command Protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.

  • A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation
    2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based Command Protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.

Steffen Junginger - One of the best experts on this subject based on the ideXlab platform.

  • IAS - Multiple Mobile Robot Management System for Transportation Tasks in Automated Laboratories Environment
    Intelligent Autonomous Systems 15, 2018
    Co-Authors: Ali A. Abdulla, Steffen Junginger, Xiangyu Gu, Norbert Stoll, Kerstin Thurow
    Abstract:

    This paper introduces a new multiple mobile robot management strategies for transportation tasks in automated laboratories environment. In this strategy, two aspects have been considered. First, the appropriate robot selection method which is either based on the highest charging level or based on the nearest robot to the transportation station. The other aspect is the robot-robot interaction which employs for robots collision avoidance especially in the narrow area (corridors). Server/client communication sockets with TCP/IP Command Protocol are employed for data transmission. A series of experiments have been performed to validate the performance of the presented strategy.

  • Mobile Robot for Life Science Automation
    International Journal of Advanced Robotic Systems, 2013
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    The paper presents a control system for mobile robots in distributed life science laboratories. The system covers all technical aspects of laboratory mobile robotics. In this system: (a) to get an accurate and low-cost robot localization, a method using a StarGazer module with a number of ceiling landmarks is utilized; (b) to have an expansible communication network, a standard IEEE 802.11g wireless network is adopted and a XML-based Command Protocol is designed for the communication between the remote side and the robot board side; (c) to realize a function of dynamic obstacle measurement and collision avoidance, an artificial potential field method based on a Microsoft Kinect sensor is used; and (d) to determine the shortest paths for transportation tasks, a hybrid planning strategy based on a Floyd algorithm and a Genetic Algorithm (GA) is proposed. Additionally, to make the traditional GA method suitable for the laboratory robot's routing, a series of optimized works are also provided in detail. Two experiments show that the proposed system and its control strategy are effective for a complex life science laboratory.

  • CASE - A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation
    2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based Command Protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.

  • A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation
    2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012
    Co-Authors: Norbert Stoll, Steffen Junginger, Kerstin Thurow
    Abstract:

    A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based Command Protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.

Santiago Garciagranda - One of the best experts on this subject based on the ideXlab platform.

  • logistics of a program system the dirdif program control and Command Protocol
    Journal of Applied Crystallography, 1994
    Co-Authors: J M M Smits, Cornelia Smykalla, P T Buerskens, W P Bosman, Santiago Garciagranda
    Abstract:

    A programmer-friendly Protocol is presented that can be used to set up a program system and to control the execution of the individual programs within such a system. To minimize computer or operating-system dependencies, control and decision making have been transferred as much as possible to the programming-language level. Communication between the individual programs is by means of some small control-data files. Implementation of new programs into such a system is very simple and transportation to different computers and operating systems is straightforward. Experience with this Protocol in the DIRDIF system of Fortran programs is described. The DIRDIF system now combines eleven major programs and operates under a variety of operating systems such as IBM/CMS, VAX/VMS, Sun/Unix, DEC/Ultrix, IBM-RISC/Aix and PC/MS-DOS, with very few modifications in the Fortran coding.

Gregery T. Buzzard - One of the best experts on this subject based on the ideXlab platform.

  • Identification of I _Kr Kinetics and Drug Binding in Native Myocytes
    Annals of Biomedical Engineering, 2009
    Co-Authors: Qinlian Zhou, Andrew C. Zygmunt, Jonathan M. Cordeiro, Fernando Siso-nadal, Robert E. Miller, Gregery T. Buzzard
    Abstract:

    Determining the effect of a compound on I _Kr is a standard screen for drug safety. Often the effect is described using a single IC_50 value, which is unable to capture complex effects of a drug. Using verapamil as an example, we present a method for using recordings from native myocytes at several drug doses along with qualitative features of I _Kr from published studies of HERG current to estimate parameters in a mathematical model of the drug effect on I _Kr. I _Kr was recorded from canine left ventricular myocytes using ruptured patch techniques. A voltage Command Protocol was used to record tail currents at voltages from −70 to −20 mV, following activating pulses over a wide range of voltages and pulse durations. Model equations were taken from a published I _Kr Markov model and the drug was modeled as binding to the open state. Parameters were estimated using a combined global and local optimization algorithm based on collected data with two additional constraints on I _Kr I – V relation and I _Kr inactivation. The method produced models that quantitatively reproduce both the control I _Kr kinetics and dose dependent changes in the current. In addition, the model exhibited use and rate dependence. The results suggest that: (1) the technique proposed here has the practical potential to develop data-driven models that quantitatively reproduce channel behavior in native myocytes; (2) the method can capture important drug effects that cannot be reproduced by the IC_50 method. Although the method was developed for I _Kr, the same strategy can be applied to other ion channels, once appropriate channel-specific voltage Protocols and qualitative features are identified.

  • Identification of Ikr kinetics and drug binding in native myocytes.
    Annals of Biomedical Engineering, 2009
    Co-Authors: Qinlian Zhou, Andrew C. Zygmunt, Jonathan M. Cordeiro, Fernando Siso-nadal, Robert E. Miller, Gregery T. Buzzard
    Abstract:

    Determining the effect of a compound on IKr is a standard screen for drug safety. Often the effect is described using a single IC50 value, which is unable to capture complex effects of a drug. Using verapamil as an example, we present a method for using recordings from native myocytes at several drug doses along with qualitative features of IKr from published studies of HERG current to estimate parameters in a mathematical model of the drug effect on IKr. IKr was recorded from canine left ventricular myocytes using ruptured patch techniques. A voltage Command Protocol was used to record tail currents at voltages from −70 to −20 mV, following activating pulses over a wide range of voltages and pulse durations. Model equations were taken from a published IKr Markov model and the drug was modeled as binding to the open state. Parameters were estimated using a combined global and local optimization algorithm based on collected data with two additional constraints on IKrI–V relation and IKr inactivation. The method produced models that quantitatively reproduce both the control IKr kinetics and dose dependent changes in the current. In addition, the model exhibited use and rate dependence. The results suggest that: (1) the technique proposed here has the practical potential to develop data-driven models that quantitatively reproduce channel behavior in native myocytes; (2) the method can capture important drug effects that cannot be reproduced by the IC50 method. Although the method was developed for IKr, the same strategy can be applied to other ion channels, once appropriate channel-specific voltage Protocols and qualitative features are identified. Electronic supplementary material The online version of this article (doi:10.1007/s10439-009-9690-5) contains supplementary material, which is available to authorized users.