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Hattori K.,Japan National Institute of Information and Communications Technology | Tatebe N.,So net Corporation | Kagawa T.,Japan National Institute of Information and Communications Technology | Owada Y.,Japan National Institute of Information and Communications Technology | And 4 more authors.
Artificial Life and Robotics | Year: 2016

This paper proposes a novel method for deploying a wireless mesh network (WMN) using a group of swarm robots equipped with wireless transceivers. The proposed method uses the rough relative positions of the robots estimated by their Radio Signal Strength Indicators (RSSIs) to deploy the WMN. The employed algorithm consists of three parts, namely, (1) a fully distributed and dynamic role decision method among the robots, (2) an adaptive direction control using the time difference of the RSSIs, and (3) a narrow corridor for the robots to pass by movement function along walls. In our study, we evaluated the performances of the proposed deployment method and a conventional method in a real environment using 12 real robots for simple deployment, and 10 real robots for passing the narrow corridor. The results of the performed experiments showed that (1) the proposed method outperformed the conventional method with regard to the deployment time, power consumption, and the distances traveled by the robots, and (2) the movement function along the walls is effective while passing a narrow corridor unlike any other function. © 2016 ISAROB


Patent
Sony Corporation and So Net Corporation | Date: 2016-01-13

Provided is an information processing apparatus including: a first information acquisition unit configured to acquire first information indicating behavior of at least one user; a second information acquisition unit configured to acquire second information on the at least one user, the second information being different from the first information; and a display control unit configured to display, in a display unit, a user object which is configured based on the first information and represents the corresponding at least one user and a virtual space which is configured based on the second information and in which the user object are arranged.


Patent
Sony Corporation and So Net Corporation | Date: 2014-01-08

Provided is an information processing apparatus including: a first information acquisition unit configured to acquire first information indicating behavior of at least one user; a second information acquisition unit configured to acquire second information on the at least one user, the second information being different from the first information; and a display control unit configured to display, in a display unit, a user object which is configured based on the first information and represents the corresponding at least one user and a virtual space which is configured based on the second information and in which the user object are arranged.


Hattori K.,Japan National Institute of Information and Communications Technology | Homma E.,Hitachi Ltd. | Kagawa T.,Japan National Institute of Information and Communications Technology | Otani M.,Kyoto University | And 5 more authors.
Artificial Life and Robotics | Year: 2016

Recently, many extensive studies have been conducted on robot control via self-positioning estimation techniques. In the simultaneous localization and mapping (SLAM) method, which is one approach to self-positioning estimation, robots generally use both autonomous position information from internal sensors and observed information on external landmarks. SLAM can yield higher accuracy positioning estimations depending on the number of landmarks; however, this technique involves a degree of uncertainty and has a high computational cost, because it utilizes image processing to detect and recognize landmarks. To overcome this problem, we propose a state-of-the-art method called a generalized measuring-worm (GMW) algorithm for map creation and position estimation, which uses multiple cooperating robots that serve as moving landmarks for each other. This approach allows problems of uncertainty and computational cost to be overcome, because a robot must find only a simple two-dimensional marker rather than feature-point landmarks. In the GMW method, the robots are given a two-dimensional marker of known shape and size and use a front-positioned camera to determine the marker distance and direction. The robots use this information to estimate each other’s positions and to calibrate their movement. To evaluate the proposed method experimentally, we fabricated two real robots and observed their behavior in an indoor environment. The experimental results revealed that the distance measurement and control error could be reduced to less than 3 %. © 2016 ISAROB

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