A Proposal of a Cloud Robotic Sensor Observation Framework integrating Global Movement Plan and Local Measurement Feedback

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概要

• 論文の詳細を見る

• The area of Cloud Networked Robotics have been a hot topic for solving problems concerning automatic 'sensing'. Problems arise with latency and connectivity when Cloud Networked Robots are put into uncertain remote areas with an assumable unstable network environment. This paper proposes a cloud robotic sensor observation framework with integrated global movement planning on the Cloud and local measurement feedback operating on top of ROS and the Turtlebot robot suite. An experiment was carried out and the results show that a robot that uses local measurement feedback will find a temperature hotspot faster than a robot using only global movement planning.

• 一般社団法人電子情報通信学会の論文
• 2014-02-06

著者

• Teranishi Yuuichi

  National Institute of Information and Communications Technology

• HIGASHIDA Manabu

  Graduate School of Information Science and Technology, Osaka University

• NORDLUND Fredrik

  Graduate School of Information Science and Technology, Osaka University

• SHIMOJO Shinji

  Graduate School of Information Science and Technology, Osaka University

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• A Proposal of a Cloud Robotic Sensor Observation Framework integrating Global Movement Plan and Local Measurement Feedback

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