著者

妹尾 敏弘 三木 一浩 阪本 実雄

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.32, no.3, pp.214-217, 2014 (Released:2014-05-15)

参考文献数

7

著者

藤吉 弘亘 橋本 学

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.35, no.1, pp.22-27, 2017 (Released:2017-02-15)

参考文献数

16

被引用文献数

1 1

著者

油田 信一

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.8, no.3, pp.320-323, 1990-06-15 (Released:2010-08-25)

著者

三木 晴子 阿部 香澄 堀井 隆斗 長井 隆行

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.39, no.2, pp.185-188, 2021 (Released:2021-03-24)

参考文献数

5

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This paper proposed a developmental support system of toddlers' language skills by using a telepresence childcare robot. The childcare robot can attract toddlers' attention during interaction based on its actions. This ability is a significant advantage that differs from static devices (i.e., tablet). Our system and robot played language quizzes with toddlers to collect developmental information about toddlers' language skills. They made reports for a childcare worker to help their assessment in the visiting support program. Experimental results showed that our system has the potentials to evaluate toddlers' language development quantitatively and support childcare workers in the visiting program.

著者

上野 浩史

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.32, no.5, pp.431-434, 2014 (Released:2014-07-15)

参考文献数

5

被引用文献数

3 4

著者

平野 克彦 黒澤 孝一

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.36, no.6, pp.408-411, 2018 (Released:2018-08-15)

参考文献数

3

被引用文献数

1

著者

神野 誠 尾崎 文夫 吉見 卓 辰野 恭市 神田 眞三 玉田 保彦 永滝 真太郎 小熊 勇 高橋 幹男

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.16, no.1, pp.50-51, 1998-01-15

参考文献数

2

被引用文献数

1 1

著者

内藤 理 佐藤 啓宏 工藤 俊亮 池内 克史

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.30, no.6, pp.629-638, 2012 (Released:2012-08-15)

参考文献数

19

被引用文献数

1

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In recent years, the social network has attracted attention as the system which causes the innovation, and various studies for researchers' networks have been carried out. This paper conducts social network analysis for a researchers' social network based on co-authorship in papers in the journal of RSJ. We investigate the 1,912 papers published from 1983 to 2010, which include 2,736 authors (nodes of the network) and 6,531 co-authorship (edges of the network). The network turns out to have general features as a complex network, such as scale-free structure, small-world structure, and cluster structure. We extract 710 core members from the network and analyze various centrality among them to show that some researchers demonstrate more importance in the network than their degrees. We also apply cluster analysis to the network to find 27 clusters in which researchers have close relationship, and give a coarse-grained representation of the clusters to clarify the adjacency among them.

著者

町田 和雄 戸田 義継 森谷 正義 津田 直純 秋田 健三

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.18, no.3, pp.444-452, 2000-04-15

参考文献数

11

被引用文献数

5

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This paper presents the space test of the ARH (Advanced Robotic Hand System), which is the world's first precise extravehicular robot aboard the satellite“Hikoboshi”. The telerobotic system has features of dexterity, autonomy and flexible operability, using a three-finger multisensory hand at a work site in space and a computer-graphics-based desktop interface at an operation site on the ground. The concept of sensor-fused telerobotics utilizing multisensory information is introduced, and the system is implemented to perform high precision tasks under the barrier of inter-satellite space communication. The robot system was launched into low earth orbit, and the capability of sensor-fused telerobotics was successfully demonstrated in precise in-orbit servicing.

著者

友納 正裕 吉田 智章 入江 清 小柳 栄次

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.30, no.3, pp.262-270, 2012 (Released:2012-04-29)

参考文献数

23

被引用文献数

5 4

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The Tsukuba Challenge is a proving ground for mobile robots, the task of which is autonomous navigatoin along a predefined path of 1km in outdoor environments. We joined the Tsukuba Challenge and achieved the tasks in 2009 and 2010. This paper focuses on the problem analysis and basic design of our navigation system, and presents the design policy and lessons learned in the experiments. Our system consists of gyro-assisted odometry, a roundly-swinging 3D laser scanner, a fish-eye camera, and a localization method using map matching and a particle filter. The integration of these technologies made our system highly reliable to achieve the task.

著者

山田 萌 芝軒 太郎

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.37, no.4, pp.284-285, 2019 (Released:2019-05-23)

著者

浅田 稔

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.38, no.1, pp.7-12, 2020 (Released:2020-01-16)

参考文献数

35

被引用文献数

1 1

著者

朴 〓圭 則次 俊郎

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.15, no.4, pp.634-641, 1997-05-15

参考文献数

10

被引用文献数

1

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In this paper, an impedance control system which uses together the inner torque control system with the disturbance observer is proposed for the pneumatic robot manipulator. It is assumed that the generated torque by a pneumatic actuator can be estimated from the pressure signals and the discharge volume. And we define that the disturbance torque includes the friction torque, load change and modeling error. At first in order to improve the control characteristics of pneumatic actuator driven by meter out method, we construct the inner torque control system by feeding back the generated torque. Secondly, to reduce the influence of the defined disturbance torque, we compose the impedance control systems with the disturbance observer which can estimate the defined disturbance torque based on the generated torque, the angular velocity and the reaction torque. In order to realize the robust impedance to the defined disturbance torque, we construct the torque based impedance control system which uses together the inner torque control system with the disturbance observer. The real command to the torque control system is generated from the impedance model and the positioning error. From some experiments, it is verified that the proposed impedance control system is effective to adjust the impedance of pneumatic robot manipulator.

著者

岩谷 正義 菊植 亮 山本 元司

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.32, no.5, pp.445-455, 2014 (Released:2014-07-15)

参考文献数

23

被引用文献数

2 6

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This paper proposes a friction model for friction compensation of harmonic drive gearings. The model is composed of parallel viscoelasto-plastic elements and rate-dependent viscosity. Comparative experiments between the proposed model and the Generalized Maxwell slip (GMS) model have shown that the proposed model is advantageous especially in the region of presliding displacement. This paper also presents parameter identification method for the model.

著者

下條 信輔

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.39, no.1, pp.50-55, 2021 (Released:2021-01-25)

参考文献数

18

著者

室岡 貴之 濱屋 政志 フェリックス フォン ドリガルスキ 田中 一敏 井尻 善久

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.39, no.2, pp.177-180, 2021 (Released:2021-03-24)

参考文献数

10

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The recent growth of robotic manipulation has resulted in the realization of increasingly complicated tasks, and various kinds of learning-based approaches for planning or control have been proposed. However, learning-based approaches which can be applied to multiple environments are still an active topic of research. In this study, we aim to realize tasks in a wide range of environments by extending conventional learning-based approaches with parameters which describe various dynamics explicitly and implicitly. We applied our proposed method to two state-of-the-art learning-based approaches: deep reinforcement learning and deep model predictive control, and realized two types of non-prehensile manipulation tasks: a cart pole and object pushing, the dynamics of which are difficult to model.

著者

荒井 裕彦

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.13, no.2, pp.161, 1995-03-15 (Released:2010-08-25)

著者

内山 瑛美子 高野 渉 中村 仁彦 今枝 秀二郞 孫 輔卿 松原 全宏 飯島 勝矢

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.39, no.2, pp.189-192, 2021 (Released:2021-03-24)

参考文献数

5

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Interview survey is one of the options for investigations with light loads on participants to study how people fall compared with measurements by many sensors. In this paper, we aimed at predicting fall patterns from interview text data. We use k-means clustering method to confirm the validity of the labels attached to the interview data, and also confirmed the validity of the summaries of the interview data by interviewer researchers by focusing on the co-occurrence word analysis. After confirming the validity of the labels and summaries, we construct a naive Bayes model classifiers to classify the fall patterns. The average classification rate was 61.1% for 3 types of falls - falls by an unexpected external force, by losing balance or supports, and by other reasons.

著者

水内 郁夫

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.28, no.6, pp.689-694, 2010 (Released:2012-01-25)

参考文献数

51

被引用文献数

2 3

著者

山本 江

出版者

一般社団法人 日本ロボット学会

雑誌

日本ロボット学会誌 (ISSN:02891824)

巻号頁・発行日

vol.36, no.2, pp.103-109, 2018 (Released:2018-04-15)

参考文献数

38