A Study of Graspless Manipulation
无抓握操纵的研究
基本信息
- 批准号:05452169
- 负责人:
- 金额:$ 4.67万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for General Scientific Research (B)
- 财政年份:1993
- 资助国家:日本
- 起止时间:1993 至 1994
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In this research, we propose 'graspless manipulation, ' a new concept of robot manipulation. In human manipulation, you don't grasp an object rigidly. You move the object dexterously by pushing, tumbling, and so on. In this manipulation, an environment, like a table or a floor, supports almost all weight of the object. We apply such a dexterous manipulation to robot manipulation.1.Introduction of graspless manipulationFirst, we define a graspless manipulation as a manipulation using a contact with an environment. Then we show that, in the view of the contact status with environment, graspless manipulation is divided to three types, pushing, tumbling, and pivoting. These three graspless manipulation method have various different characteristics. For example, in movement speed, or, moving minute distance, etc. Then, you can combine three types to achieve various manipulation tasks.2.Graspless manipulation referring to human methodThere exists a closed loop link mechanism, 'manipulator--object--environment' in graspless manipulation. To cope with this loop, we don't use a force control method, but propose two position control based method refering to human method. One is a method using free joint to absorb position error. The other is a method using a movable space of a geometric constraint by rigid fingers and environment.3.Graspless manipulation with visual feedbackIn graspless manipulation, manipulator doesn't grasp an oject rigidly. Then the position and posture of the object can't be calculated from that of the manipulator, and the object can't move acorrding to estimation because of uncertainty of friction. We use a hand-eye system to counter these problems. We use visual observation to tracking the object and to recognize a behavior of the object to classify some events. And then we have experiment with this hand-eye system to manipulate an object only by one finger.
在这项研究中,我们提出了“无抓操作,”机器人操作的新概念。在人类的操纵中,你不会僵硬地抓住一个物体。你可以通过推动、翻滚等方式灵巧地移动物体。在这种操作中,一个环境,如桌子或地板,几乎支撑了物体的所有重量。我们将这种灵巧的操作应用到机器人操作中。1.无抓操作的介绍首先,我们将无抓操作定义为使用与环境的接触的操作。然后,我们表明,在与环境的接触状态,无抓操作分为三种类型,推动,翻滚,旋转。这三种手法各有不同的特点。例如,在移动速度,或移动的分钟距离等,然后,你可以联合收割机三种类型来实现各种操作任务。2.无抓操作参考人类的方法无抓操作中存在一个闭环连杆机构,“机械手-物体-环境”。为了科普这个问题,我们没有使用力控制的方法,而是提出了两种基于位置控制的方法。一种是利用自由关节吸收位置误差的方法。另一种是利用刚性手指和环境的几何约束的可动空间的方法。3.视觉反馈的无抓取操作在无抓取操作中,机械手不是刚性地抓取物体。由于摩擦力的不确定性,无法根据机械手的位置和姿态计算出物体的位置和姿态,物体也无法根据估计进行运动。我们使用手眼系统来解决这些问题。我们使用视觉观察来追踪目标,并辨识目标的行为,以分类某些事件。然后我们用这个手眼系统做实验,只用一根手指就能操纵一个物体。
项目成果
期刊论文数量(48)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Inoue, etc.: "Cooperative Manipulation by Autonomous Intelligent Robots" The Journal of the Japan Society of Mechanical Engineering (Category C). Volume 59. 2318-2325 (1993)
井上等:《自主智能机器人的协作操纵》日本机械工程学会会刊(C类)。
- DOI:
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- 影响因子:0
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- 通讯作者:
Inoue, etc.: "Sensor-Integrated Robot Head" The Proceedings of the 13th Annual Conference of the Robotics Society of Japan. Volume 1. 289-290 (1994)
井上等:“传感器集成机器人头”日本机器人学会第13届年会论文集。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
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- 通讯作者:
Y.Kuniyoshi and H.Inoue: "Quolitative Recognition of Ongoing Human Action Lequeuces" 13th Int.J.Conf.Artificial Intelligence. 13. 1600-1609 (1993)
Y.Kuniyoshi 和 H.Inoue:“正在进行的人类行为 Lequeuces 的定性识别”第 13 届 Int.J.Conf.人工智能。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
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井上博允他7名: "ビデオレートトラッキングビジョンの実用化" 日本ロボット学会学術講演会. 1. 345-346 (1994)
Hiroyuki Inoue 等 7 人:“视频速率跟踪视觉的实际应用”日本机器人学会学术会议 1. 345-346 (1994)。
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- 发表时间:
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- 影响因子:0
- 作者:
- 通讯作者:
井上博允 他1名: "複数の自律ロボットによる協調物体操作" 日本機械学会論文集(C編). 59. 2318-2325 (1993)
Hiroyuki Inoue 和其他 1 人:“多个自主机器人的协作对象操纵”日本机械工程师学会会议记录(ed. C)59. 2318-2325(1993)。
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- 影响因子:0
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INOUE Hirochika其他文献
INOUE Hirochika的其他文献
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{{ truncateString('INOUE Hirochika', 18)}}的其他基金
Gel Robots (Shape Design and Motion Control of Electroactive Polymer Gel)
凝胶机器人(电活性聚合物凝胶的形状设计和运动控制)
- 批准号:
13450100 - 财政年份:2001
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Development of Humanoid Research Platform and Realization of Reactive Whole-body Motion
仿人研究平台开发及反应性全身运动的实现
- 批准号:
13355011 - 财政年份:2001
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Realtime Color Segmentation, Optical Flow, Depthmap Generation Integration for Mobile Robot Control
用于移动机器人控制的实时颜色分割、光流、深度图生成集成
- 批准号:
10450096 - 财政年份:1998
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Development of Multi-Legged Robot Platform and Its Application to Make Evolution of Intelligent Machine Research
多足机器人平台的开发及其应用推动智能机器研究的发展
- 批准号:
10355011 - 财政年份:1998
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Navigation and Route Representation based on View Sequence
基于视图序列的导航和路线表示
- 批准号:
08455119 - 财政年份:1996
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Research Emerging Mechine Intelligence : A Tightly Coupled Perdeption-Motion Behavior Approach
研究新兴机器智能:紧密耦合的感知-运动行为方法
- 批准号:
07245102 - 财政年份:1995
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research on Priority Areas
Development of an Intelligent Humanoid Robot
智能人形机器人的研制
- 批准号:
06555069 - 财政年份:1994
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Real Time 3D Robot Vision System based on Local Correlation Methods
基于局部相关法的实时3D机器人视觉系统
- 批准号:
04555055 - 财政年份:1992
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for Developmental Scientific Research (B)
Research of an intelligent robot which observes human action sequences, understands these, and generates a program for the task.
研究智能机器人,它观察人类的动作序列,理解这些序列,并生成执行任务的程序。
- 批准号:
03452137 - 财政年份:1991
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for General Scientific Research (B)
Research on Intelligent Robot System with Real-time 3D Visual Feedback
实时3D视觉反馈智能机器人系统研究
- 批准号:
61420026 - 财政年份:1986
- 资助金额:
$ 4.67万 - 项目类别:
Grant-in-Aid for General Scientific Research (A)
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