The Experts below are selected from a list of 276 Experts worldwide ranked by ideXlab platform

Masahiko Sasano - One of the best experts on this subject based on the ideXlab platform.

  • development of a new Operating System Software for a hovering type autonomous underwater vehicle hobalin
    Asian Control Conference, 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

  • ASCC - Development of a new Operating System Software for a hovering-type autonomous underwater vehicle HOBALIN
    2017 11th Asian Control Conference (ASCC), 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

Takahiro Seta - One of the best experts on this subject based on the ideXlab platform.

  • development of a new Operating System Software for a hovering type autonomous underwater vehicle hobalin
    Asian Control Conference, 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

  • ASCC - Development of a new Operating System Software for a hovering-type autonomous underwater vehicle HOBALIN
    2017 11th Asian Control Conference (ASCC), 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

Shogo Inaba - One of the best experts on this subject based on the ideXlab platform.

  • development of a new Operating System Software for a hovering type autonomous underwater vehicle hobalin
    Asian Control Conference, 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

  • ASCC - Development of a new Operating System Software for a hovering-type autonomous underwater vehicle HOBALIN
    2017 11th Asian Control Conference (ASCC), 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

Akihiro Okamoto - One of the best experts on this subject based on the ideXlab platform.

  • development of a new Operating System Software for a hovering type autonomous underwater vehicle hobalin
    Asian Control Conference, 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

  • ASCC - Development of a new Operating System Software for a hovering-type autonomous underwater vehicle HOBALIN
    2017 11th Asian Control Conference (ASCC), 2017
    Co-Authors: Takahiro Seta, Akihiro Okamoto, Shogo Inaba, Masahiko Sasano
    Abstract:

    A new Operating System Software for a hovering-type AUV (Autonomous Underwater Vehicle) was developed. The new System is targeted to an AUV named “HOBALIN”, developed in 2015 and already in use with an older Operating System. The new System is based on ROS (Robot Operating System) and was completely redesigned from the older version. The replacement was intended to make the AUV capable to introduce newer technologies and make clean with Software licenses and older codes. In this paper, the structure, the features and the design ideas of the new System are described.

Abraham Silberschatz - One of the best experts on this subject based on the ideXlab platform.

  • topology discovery in heterogeneous ip networks the netinventory System
    IEEE ACM Transactions on Networking, 2004
    Co-Authors: Yuri Breitbart, Minos Garofalakis, Cliff Martin, Rajeev Rastogi, Abraham Silberschatz
    Abstract:

    Knowledge of the up-to-date physical topology of an IP network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today's IP networks, keeping track of topology information manually is a daunting (if not impossible) task. Thus, effective algorithms for automatically discovering physical network topology are necessary. Earlier work has typically concentrated on either 1) discovering logical (i.e., layer-3) topology, which implies that the connectivity of all layer-2 elements (e.g., switches and bridges) is ignored, or 2) proprietary solutions targeting specific product families. In this paper, we present novel algorithms for discovering physical topology in heterogeneous (i.e., multi-vendor) IP networks. Our algorithms rely on standard SNMP MIB information that is widely supported by modern IP network elements and require no modifications to the Operating System Software running on elements or hosts. We have implemented the algorithms presented in this paper in the context of the NetInventory topology-discovery tool that has been tested on Lucent's own research network. The experimental results clearly validate our approach, demonstrating that our tool can consistently discover the accurate physical network topology with reasonably small running-time requirements even for fairly large network configurations.

  • topology discovery in heterogeneous ip networks
    International Conference on Computer Communications, 2000
    Co-Authors: Yuri Breitbart, Minos Garofalakis, Cliff Martin, Rajeev Rastogi, S Seshadri, Abraham Silberschatz
    Abstract:

    Knowledge of the up-to-date physical topology of an IP network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today's IP networks, keeping track of topology information manually is a daunting (if not impossible) task. Thus, effective algorithms for automatically discovering physical network topology are necessary. Earlier work has typically concentrated on either: (a) discovering logical (i.e., layer-3) topology, which implies that the connectivity of all layer-2 elements (e.g., switches and bridges) is ignored; or (b) proprietary solutions targeting specific product families. In this paper, we present novel algorithms for discovering physical topology in heterogeneous (i.e., multi-vendor) IP networks. Our algorithms rely on standard SNMP MIB information that is widely supported by modern IP network elements and require no modifications to the Operating System Software running on elements or hosts. We have implemented the algorithms presented in this paper in the context of a topology discovery tool that has been tested on Lucent's own research network. The experimental results clearly validate our approach, demonstrating that our tool can consistently discover the accurate physical network topology in time that is roughly quadratic in the number of network elements.

  • INFOCOM - Topology discovery in heterogeneous IP networks
    Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Socie, 2000
    Co-Authors: Yuri Breitbart, Minos Garofalakis, Cliff Martin, Rajeev Rastogi, S Seshadri, Abraham Silberschatz
    Abstract:

    Knowledge of the up-to-date physical topology of an IP network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today's IP networks, keeping track of topology information manually is a daunting (if not impossible) task. Thus, effective algorithms for automatically discovering physical network topology are necessary. Earlier work has typically concentrated on either: (a) discovering logical (i.e., layer-3) topology, which implies that the connectivity of all layer-2 elements (e.g., switches and bridges) is ignored; or (b) proprietary solutions targeting specific product families. In this paper, we present novel algorithms for discovering physical topology in heterogeneous (i.e., multi-vendor) IP networks. Our algorithms rely on standard SNMP MIB information that is widely supported by modern IP network elements and require no modifications to the Operating System Software running on elements or hosts. We have implemented the algorithms presented in this paper in the context of a topology discovery tool that has been tested on Lucent's own research network. The experimental results clearly validate our approach, demonstrating that our tool can consistently discover the accurate physical network topology in time that is roughly quadratic in the number of network elements.