The Experts below are selected from a list of 72801 Experts worldwide ranked by ideXlab platform

Hideki Hashimoto - One of the best experts on this subject based on the ideXlab platform.

  • Cooperation of distributed Intelligent sensors in Intelligent Environment
    IEEE-ASME Transactions on Mechatronics, 2004
    Co-Authors: Kazuyuki Morioka, Noriyasu Ando, Hideki Hashimoto
    Abstract:

    We propose an architecture of Intelligent space based on distributed Intelligent sensors. Intelligent space is an Environmental system able to support humans in informative and physical ways. Since an Intelligent space should adapt to the various sizes and shapes of an Environment, an architecture based on distributed Intelligent sensors is designed. The proposed architecture satisfies not only scalability but also reconfigurability, modularity, easy maintenance, and affinity problems in building an Intelligent space. Intelligent sensors are distributed among a space and they provide functions based on position information. According to the particular situation, cooperation among Intelligent sensors or cooperation among function modules in the Intelligent sensors are performed. Selected demonstrations are described in the paper.

  • human following mobile robot in a distributed Intelligent sensor network
    IEEE Transactions on Industrial Electronics, 2004
    Co-Authors: Kazuyuki Morioka, Joo-ho Lee, Hideki Hashimoto
    Abstract:

    The robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, humans and robots need to be in close proximity to each other as much as possible. Moreover, it is necessary for their interactions to occur naturally. It is desirable for a robot to carry out human following, as one of the human-affinitive movements. The human-following robot requires several techniques: the recognition of the target human, the recognition of the Environment around the robot, and the control strategy for following a human stably. In this research, an Intelligent Environment is used in order to achieve these goals. An Intelligent Environment is a space in which many sensors and Intelligent devices are distributed. Mobile robots exist in this space as physical agents providing humans with services. A mobile robot is controlled to follow a walking human using distributed Intelligent sensors as stably and precisely as possible. The control law based on the virtual spring model is proposed to mitigate the difference of movement between the human and the mobile robot. The proposed control law is applied to the Intelligent Environment and its performance is verified by the computer simulation and the experiment.

  • Physical distance based human robot interaction in Intelligent Environment
    IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02, 2002
    Co-Authors: Joo-ho Lee, Kazuyuki Morioka, Hideki Hashimoto
    Abstract:

    Physical distance based human robot interaction in Intelligent Environment is introduced in this article. Since Intelligent Environment possess lots of sensors and intelligence and they are distributed among the Environment, people in the Environment are monitored and supported with many services. To monitor people in the space, sensors to watch them are necessary and how to place the sensors is a big issue. Human robot interaction is an open problem that many people try to solve. When high accuracy localization on people and robot is achieved, physical distance based human robot interaction become possible. The possibility of achieving the interaction in Intelligent space is shown with some experimental results.

Renato Zaccaria - One of the best experts on this subject based on the ideXlab platform.

  • the artificial ecosystem a distributed approach to service robotics
    International Conference on Robotics and Automation, 2004
    Co-Authors: Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper outlines the benefits of the approach in terms of efficiency and Real-Time responsiveness.

  • ICRA - The artificial ecosystem: a distributed approach to service robotics
    IEEE International Conference on Robotics and Automation 2004. Proceedings. ICRA '04. 2004, 2004
    Co-Authors: Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper outlines the benefits of the approach in terms of efficiency and Real-Time responsiveness.

  • The artificial ecosystem: A multiagent architecture
    Lecture Notes in Computer Science, 2003
    Co-Authors: Maurizio Miozzo, Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper describes the approach and shows the details of its implementation, by outlining the benefits in terms of efficiency and Real-Time responsiveness.

  • IDEAL - The Artificial Ecosystem: A Multiagent Architecture
    Intelligent Data Engineering and Automated Learning, 2003
    Co-Authors: Maurizio Miozzo, Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper describes the approach and shows the details of its implementation, by outlining the benefits in terms of efficiency and Real-Time responsiveness.

Kazuyuki Morioka - One of the best experts on this subject based on the ideXlab platform.

  • Cooperation of distributed Intelligent sensors in Intelligent Environment
    IEEE-ASME Transactions on Mechatronics, 2004
    Co-Authors: Kazuyuki Morioka, Noriyasu Ando, Hideki Hashimoto
    Abstract:

    We propose an architecture of Intelligent space based on distributed Intelligent sensors. Intelligent space is an Environmental system able to support humans in informative and physical ways. Since an Intelligent space should adapt to the various sizes and shapes of an Environment, an architecture based on distributed Intelligent sensors is designed. The proposed architecture satisfies not only scalability but also reconfigurability, modularity, easy maintenance, and affinity problems in building an Intelligent space. Intelligent sensors are distributed among a space and they provide functions based on position information. According to the particular situation, cooperation among Intelligent sensors or cooperation among function modules in the Intelligent sensors are performed. Selected demonstrations are described in the paper.

  • human following mobile robot in a distributed Intelligent sensor network
    IEEE Transactions on Industrial Electronics, 2004
    Co-Authors: Kazuyuki Morioka, Joo-ho Lee, Hideki Hashimoto
    Abstract:

    The robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, humans and robots need to be in close proximity to each other as much as possible. Moreover, it is necessary for their interactions to occur naturally. It is desirable for a robot to carry out human following, as one of the human-affinitive movements. The human-following robot requires several techniques: the recognition of the target human, the recognition of the Environment around the robot, and the control strategy for following a human stably. In this research, an Intelligent Environment is used in order to achieve these goals. An Intelligent Environment is a space in which many sensors and Intelligent devices are distributed. Mobile robots exist in this space as physical agents providing humans with services. A mobile robot is controlled to follow a walking human using distributed Intelligent sensors as stably and precisely as possible. The control law based on the virtual spring model is proposed to mitigate the difference of movement between the human and the mobile robot. The proposed control law is applied to the Intelligent Environment and its performance is verified by the computer simulation and the experiment.

  • Physical distance based human robot interaction in Intelligent Environment
    IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02, 2002
    Co-Authors: Joo-ho Lee, Kazuyuki Morioka, Hideki Hashimoto
    Abstract:

    Physical distance based human robot interaction in Intelligent Environment is introduced in this article. Since Intelligent Environment possess lots of sensors and intelligence and they are distributed among the Environment, people in the Environment are monitored and supported with many services. To monitor people in the space, sensors to watch them are necessary and how to place the sensors is a big issue. Human robot interaction is an open problem that many people try to solve. When high accuracy localization on people and robot is achieved, physical distance based human robot interaction become possible. The possibility of achieving the interaction in Intelligent space is shown with some experimental results.

Gordon Hunter - One of the best experts on this subject based on the ideXlab platform.

  • The application of statistical reliability theory in the context of Intelligent Environments: a tutorial review
    Journal of Reliable Intelligent Environments, 2015
    Co-Authors: Gordon Hunter
    Abstract:

    Intelligent Environments often require the integration of multi-modal sensing and actuating technologies with high performance real-time computation, including artificial intelligence systems for analysis, learning patterns and reasoning. Such systems may be complex, and involve multiple components. However, in order to make them affordable, Intelligent Environments sometimes require many of their individual components to be low-cost. Nevertheless, in many applications—including safety-critical systems, and systems monitoring the health and well-being of vulnerable individuals, it is essential that these Intelligent Environment systems are reliable, which the issue of affordability must not compromise. If such Environments are to find real application and deployment in these types of domain, it is necessary to be able to obtain accurate predictions of how probable any potential failure of the system is in any given timeframe, and of statistical parameters regarding the expected time to the first, or between successive, failures. Such quantities must be kept within what are deemed to be acceptable tolerances if the Intelligent Environment is to be suitable for applications in these critical areas, without requiring excessively high levels of human monitoring and/or intervention. In this paper, an introductory overview of statistical reliability theory is presented. The applicability of this to the context of Intelligent Environments—particularly those involving safety critical or other sensitive issues—is discussed, along with how such reliability modelling can be used to influence the design, implementation and application of an Intelligent Environment.

  • The application of statistical reliability theory in the context of Intelligent Environments: a tutorial review
    Journal of Reliable Intelligent Environments, 2015
    Co-Authors: Gordon Hunter
    Abstract:

    Intelligent Environments often require the integration of multi-modal sensing and actuating technologies with high performance real-time computation, including artificial intelligence systems for analysis, learning patterns and reasoning. Such systems may be complex, and involve multiple components. However, in order to make them affordable, Intelligent Environments sometimes require many of their individual components to be low-cost. Nevertheless, in many applications—including safety-critical systems, and systems monitoring the health and well-being of vulnerable individuals, it is essential that these Intelligent Environment systems are reliable, which the issue of affordability must not compromise. If such Environments are to find real application and deployment in these types of domain, it is necessary to be able to obtain accurate predictions of how probable any potential failure of the system is in any given timeframe, and of statistical parameters regarding the expected time to the first, or between successive, failures. Such quantities must be kept within what are deemed to be acceptable tolerances if the Intelligent Environment is to be suitable for applications in these critical areas, without requiring excessively high levels of human monitoring and/or intervention. In this paper, an introductory overview of statistical reliability theory is presented. The applicability of this to the context of Intelligent Environments—particularly those involving safety critical or other sensitive issues—is discussed, along with how such reliability modelling can be used to influence the design, implementation and application of an Intelligent Environment.

Antonio Sgorbissa - One of the best experts on this subject based on the ideXlab platform.

  • the artificial ecosystem a distributed approach to service robotics
    International Conference on Robotics and Automation, 2004
    Co-Authors: Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper outlines the benefits of the approach in terms of efficiency and Real-Time responsiveness.

  • ICRA - The artificial ecosystem: a distributed approach to service robotics
    IEEE International Conference on Robotics and Automation 2004. Proceedings. ICRA '04. 2004, 2004
    Co-Authors: Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper outlines the benefits of the approach in terms of efficiency and Real-Time responsiveness.

  • The artificial ecosystem: A multiagent architecture
    Lecture Notes in Computer Science, 2003
    Co-Authors: Maurizio Miozzo, Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper describes the approach and shows the details of its implementation, by outlining the benefits in terms of efficiency and Real-Time responsiveness.

  • IDEAL - The Artificial Ecosystem: A Multiagent Architecture
    Intelligent Data Engineering and Automated Learning, 2003
    Co-Authors: Maurizio Miozzo, Antonio Sgorbissa, Renato Zaccaria
    Abstract:

    We propose a multiagent, distributed approach to autonomous mobile robotics which is an alternative to most existing systems in literature: robots are thought of as mobile units within an Intelligent Environment where they coexist and co-operate with fixed, Intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc. To achieve this, Intelligent sensors and actuators (i.e. physical agents) are distributed both onboard the robot and throughout the Environment, and they are handled by Real-Time software agents which exchange information on a distributed message board. The paper describes the approach and shows the details of its implementation, by outlining the benefits in terms of efficiency and Real-Time responsiveness.