Studies on intelligent information processing for robots integrated with the sensor networks

传感器网络集成机器人智能信息处理研究

• 批准号: 16200013
• 负责人: ISHIGURO Hiroshi
• 金额: $ 30.62万
• 依托单位: Osaka University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (A)
• 财政年份: 2004
• 资助国家: 日本
• 起止时间: 2004 至 2007
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-16200013/
• 关键词: perceptual information infrastructure; android; humanoid; distributed audition; distributed vision; 個人固定; 行動モデル

There are two methods for realizing intelligent systems. One is to combine rather a small number of sensors and high performance information processing like a human brain and the other is to cover both of the robots, and the environment with a large number of sensors and directory obtain the necessary information. This research project has taken the later approach. More concretely, we have extended the perceptual information infrastructure (PII: the next-generation computer networks using a large number of sensors) and developed intelligent robotic systems by integrating the PII and developed interactive robots.The research, project mainly consists of the following three topics: (a) Intelligent information processing for the robot behaviors, (b) Sensor networks supporting, and c Intelligent information processing of robots integrated with environments. With respect to the robot behaviors, we have studied on fundamental functions of the robots, such as controls of biped robots and arm robots and learning systems for haptic sensation, and them of the interactive robots, such as behavior and appearance problems of robots and androids. With respect to the sensor networks, we have studied on utilizations of floor sensors and multiple camera systems in addition to the fundamental algorithms. With respect to the robots integrated with environments, we have developed the robot systems and their functions, such as tele-operation and so on.

实现智能系统有两种方法。一种是将联合收割机相当少量的传感器和像人脑一样的高性能信息处理相结合，另一种是将两者都覆盖在机器人上，并且用大量的传感器和目录获取所需的信息。本研究项目采取了后一种方法。更具体地说，我们已经扩展了感知信息基础设施，（PII：使用大量传感器的下一代计算机网络），并通过整合PII开发智能机器人系统，开发交互式机器人。该研究项目主要包括以下三个主题：（a）机器人行为的智能信息处理，（B）传感器网络支持，与环境集成的机器人智能信息处理。关于机器人的行为，我们已经研究了机器人的基本功能，如机器人和手臂机器人的控制和触觉感知的学习系统，以及交互式机器人的基本功能，如机器人和机器人的行为和外观问题。在传感器网络方面，除了基本算法之外，我们还研究了地板传感器和多摄像机系统的利用。在与环境集成的机器人方面，我们开发了机器人系统及其功能，如遥操作等。

项目成果

RoboCup 2004: Robot Soccer world Cup VIII(Lecture Notes in Artificial Intelligence, Vol. 3276)

RoboCup 2004：第八届机器人足球世界杯（人工智能讲义，第 3276 卷）

• 发表时间: 2004
• 作者: Chalodhorn;R.;MacDorman;K. F. & Asada;M
• 通讯作者: M

アンドロイドによるロボットの見かけを考慮したコミュニケーション評価

考虑使用机器人的机器人外观的通信评估

• 发表时间: 2004
• 期刊: 日本機械学会ロボティクス・メカトロニクス講演会2004講演論文集(ROBOMEC) Vol.CD-ROM
• 作者: 嶋田倫博;港隆史;石黒博
• 通讯作者: 石黒博

Automatic extraction of abstract action from humanoid motion data

从人形运动数据中自动提取抽象动作

• 发表时间: 2004
• 期刊: Proc.of the IEEE/RSJ International Conference on Intelligent Robots and Systems Vol.2004
• 作者: Chalodhorn;R.;MacDorman;K.F.;Asada;M
• 通讯作者: M

A super-flexible sensor system for humanoid robots and related applications

用于仿人机器人及相关应用的超灵活传感器系统

• 发表时间: 2008
• 期刊: J. Jpn. Inst. Electronics Packaging (In press)
• 作者: M. Inoue;Y. Kawahito;Y. Tada;T. Hondo;T. Rawasaki;K. Suganuma;and H Ishiguro
• 通讯作者: and H Ishiguro

Real-time people tracking by floor sensor networks based on walking pattern models represented with multiple hypotheses

基于多种假设的行走模式模型，通过地板传感器网络进行实时人员跟踪

• 发表时间: 2007
• 期刊: Journal D of the Institute of Electronics, information and Communication Engineers Vol.J90-D, No.6
• 作者: Takuya;Murakita;Hiroshi;Ishiguro
• 通讯作者: Ishiguro