• Title/Summary/Keyword: Space Robot

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Adaptive Control of Space Robot in Inertia Space (Inertia Space에서 우주 로봇의 적응제어)

  • Lee, Ju-Jang
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.381-385
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    • 1992
  • In this paper, dynamic modeling and adaptive control problems for a space robot system are discussed. The space robot consist of a robot manipulator mounted on a free-floating base where no attitude control is applied. Using an extended robot model, the entire space robot can be viewed as an under-actuated robot system. Based on nonlinear control theory, the extended space robot model can then be decomposed into two subsystems: one is input-output exactly linearizable, and the other is unlinearizable and represents an internal dynamics. With this decomposition, a normal form-augmentation approach and an augmented state-feedback control are proposed to facilitate the design of adaptive control for the space robot system against parameter uncertainty, unknown dynamics and unmodeled payload in space applications. We demonstrate that under certain conditions, the entire space robot can be represented as a full-actuated robot system to avoid the inclusion of internal dynamics. Based on the dynamic model, we propose an adaptive control scheme using Cartesian space representation and demonstrate its validity and design procedure by a simulation study.

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Human Centered Robot for Mutual Interaction in Intelligent Space

  • Jin Tae-Seok;Hashimoto Hideki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.3
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    • pp.246-252
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    • 2005
  • Intelligent Space is a space where many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents, which provide human with services. To realize this, human and mobile robots have to approach each other as much as possible. Moreover, it is necessary for them to perform interactions naturally. It is desirable for a mobile robot to carry out human affinitive movement. In this research, a mobile robot is controlled by the Intelligent Space through its resources. The mobile robot is controlled to follow walking human as stably and precisely as possible. In order to follow a human, control law is derived from the assumption that a human and a mobile robot are connected with a virtual spring model. Input velocity to a mobile robot is generated on the basis of the elastic force from the virtual spring in this model. And its performance is verified by the computer simulation and the experiment.

Teaching Method Without Work Space Limit for Industrial Robot (산업용 로봇의 작업공간 제한이 없는 교시 방법)

  • Choi, Taeyong;Do, Hyunmin;Park, Chanhun;Park, Dongil;Kim, Doohyeong;Kyung, Jinho
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.6
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    • pp.492-497
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    • 2016
  • Teaching an industrial robot is still a dangerous and time-consuming process. It is expected that a robot can track a trajectory that is repeatedly taught by a human operator. Teaching a robot in joint space is easier than that in Cartesian space or a work space because the robot will never lose its stability when it is taught and operated in a joint space. However, it is very easy for a robot to lose its stability when it is taught in a work space. This is because of the singular points problem in kinematics for manipulators. Thus, experts should teach a given task to a robot in a careful manner. A new algorithm that avoids the problem of singular points is proposed. Using this proposed method, a user can freely teach a robot without the chance of instability in an entire work space.

Design of Parallel Typed Walking Robot for Improvement of Walking Space and Stability (보행공간과 안정성 향상을 위한 병렬기구 보행로봇의 설계)

  • Kim, Chi-Hyo;Park, Kun-Woo;Kim, Tae-Sung;Lee, Min-Ki
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.32 no.4
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    • pp.310-318
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    • 2008
  • This paper presents a parallel typed walking robot to improve walking space and stability region. The robot is designed by inserting an intermediate mechanism between upper leg mechanism and lower leg mechanism. The leg mechanism is composed of three legs and base, which form a parallel mechanism with ground. Seven different types of walking robot are invented by combining the leg mechanisms and an intermediate mechanism. Topology is applied to design the leg mechanism. A motor vector is adopted to determine Jacobian and a wrench vector is used to analyze dynamics of the robot. We explore the stability region of the robot from the reaction force of legs and compute ZMP including the holding force to contact the foot to a wall. This investigates a walking stability when the robot walks on the ground as well as on the wall. We examine the walking space generated by support legs and by swing legs. The robot has both a large positional walking space and a large orientational walking space so that it can climb from a floor up to a wall.

Mobile Robot Control for Human Following in Intelligent Space

  • Kazuyuki Morioka;Lee, Joo-Ho;Zhimin Lin;Hideki Hashimoto
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.25.1-25
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    • 2001
  • Intelligent Space is a space where many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents, which provide human with services. To realize this, human and mobile robots have to approach each other as much as possible. Moreover, it is necessary for them to perform interactions naturally. Thus, it is desirable for a mobile robot to carry out human-affnitive movement. In this research, a mobile robot is controlled by the Intelligent Space through its resources. The mobile robot is controlled to follow walking human as stably and precisely as possible.

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A new derivation method of the generalized Jacobian matrix of a space robot and its application to a multi-robot system

  • Kobayashi, Jun;Nakatsuka, Keiichi;Katoh, Ryozo;Ohkawa, Fujio
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.799-802
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    • 1997
  • This paper deals with a new method to derive the Generalized Jacobian Matrix of a space robot. In a conventional method to derive the Generalized Jacobian Matrix, generalized coordinates select Joint angles and a space robot body's position and attitude angle. But, in this paper, we select position and attitude angle of the end-effector or the handled floating object as generalized coordinates. Then, we can derive the Generalized Jacobian Matrix of the system which consists of several space robots and a handled floating object. Moreover control methods operated by only one space robot can be easily extended to the cases of cooperation task by several space robots. Computer simulations show that the Generalized Jacobian Matrix derived here is effective.

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A Ubiquitous Robot System (유비쿼터스 로봇 시스템)

  • 김종환;유지환;이강희;유범상
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.7
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    • pp.7-14
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    • 2004
  • In an upcoming ubiquitous era, humankind will live in a ubiquitous space, where everything is connected through communication network. In this ubiquitous space, a ubiquitous robot, which can be used by anyone for any service through any device and any network at anytime and anywhere in a u-space, is expected to be required to serve seamless and context-aware services to humankind. In this paper, we introduce the ubiquitous robot, and define three components of the ubiquitous robot. The first one is "SoBot" which can be connected through the network in anywhere with environment recognition function and communication ability with human. The second one is "EmBot" which is embedded into environments and mobile robots and has localization and certification function with sensor fusion. The last one is "Mobile Robot" which serves overall physical services. This paper also introduces KAIST ITRC-Intelligent Robot Research Center that pursues the implementation of the ubiquitous robot.

Human Robot Interaction via Intelligent Space

  • Hideki Hashimoto;Lee, Joo-Ho;Kazuyuki Morioka
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.49.1-49
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    • 2002
  • $\textbullet$ Intelligent Space 1. Optimal Camera Arrangement 2. People Tracking 3. Physical Robot 4. Robot Control 5. People Following Robot $\textbullet$ Initial stage for making high-level human robot interaction. http://dfs.iis.u-tokyo.ac.jp/∼leejooho/ispace/.

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The test bed for teleoperated space robot (우주로봇 원격제어 테스트 베드)

  • 김동구;박종오
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.760-763
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    • 1997
  • Using telesensor programming method, we control the space robot which has two 2-DOF manipulators. To make this control system, we devide total works by elemental operation. And we make a simulation system that can simulate sensors and robot. In the simulation system, we make a sensor data and robot paths by "Teaching by showing" method. And using these data, we control the real space robot. This off-line method can solve long time delay problem in teleoperation.operation.

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Study on Optimal Design and Walking gait of Parallel Typed Walking Robot (병렬기구 보행로봇의 최적설계와 걸음새에 관한 연구)

  • Kim, Chi-Hyo;Park, Kun-Woo;Kim, Tae-Sung;Lee, Min-Ki
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.10
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    • pp.56-64
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    • 2009
  • This paper presents a parallel typed walking robot which can walk in omni-direction and climb from a floor to a wall. We design a six D.O.F leg mechanism composed of three legs, which form a parallel mechanism with a base and a ground to generate arbitrary poses. Optimal design is conducted to maximize the walking space and the dexterity, which are normalized by the stroke of leg. Kinematic parameters are found to maximize the weighted optimal objectives. We design a triple parallel mechanism robot by inserting Stewart platform between the upper leg mechanism and the lower leg mechanism and examine the gaits when the robot walks on the ground and climbs from a floor to a wall. The analysis of walking space and dexterity for each gait shows that the triple parallel walking robot has a large walking space with a large stability region. We explore the possibility that the robot can climb from a floor to a wall. Investigating the gaits for the six steps proves that the robot can lift the foot up to the wall by combining the orientational walking space generated by three parallel mechanisms.