• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2790-2792
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• 2000

본 논문은 이동로봇의 목표 추적제어기 설계에 대한 것을 다룬다. 목표 추적이란, 정해진 목표를 이동 로봇이 실시간으로 파악하면서 그 목표를 일정한 거리와 각을 유지하면서 따르는 것을 말한다. 시각 시스템과 이동성을 지닌 이동로봇이 제어기 설계에 기본 가정이 되었다. 우선, 목표 추적을 좀 더 명확히 분류하고 정의한 뒤 그에 적합한 제어기를 제안한다. 그리고 다양한 시뮬레이션을 통하여 그 유용성을 확인하도록 하겠다.

• ICROS
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• v.7 no.3
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• pp.10-18
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• 2001

• ICROS
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• v.5 no.2
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• pp.23-28
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• 1999

• Journal of Internet Computing and Services
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• v.8 no.2
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• pp.137-146
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• 2007

This paper presents a way to integrate a task planner with a plan executive for efficient control of intelligent robots. For this purpose, it first surveys several types of the existing task planners and plan executives. And then it introduces a new approach that combines a BDI-based executive with an on-demand task planner, and it explains a control architecture of intelligent robots based upon this integrating paradigm. Finally it analyzes the flexibility and robustness of both the proposed integrating paradigm and the control architecture through implementation of a demo system using AIBO robots.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1831_1832
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• 2009

본 논문에서는 유연관절 로봇 팔 제어를 위한 토크센서 기반의 외란에 강인한 제어기 설계를 다루고 있다. 로봇은 관절의 토크센서를 통해 관절에서 발생하는 토크의 측정이 가능하며 외란에 강인한 제어기 설계를 위해 외란 관측기가 적용 되었다. 외란관측기는 시스템에 작용하고 있는 외란을 상쇄하는 역할을 한다. 본 논문에서 설계된 제어기의 성능은 컴퓨터 모의실험을 통하여 확인하도록 한다.

• Journal of Navigation and Port Research
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• v.33 no.5
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• pp.323-330
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• 2009

We have been developing an underwater robot for harbour construction using a parallel mechanism The robot is attached to the rope of a crane, which curries a large stone into the undersea The robot's yaw and pitch are controlled by hydraulic cylinders but its roll is uncontrollable. We mount propellers in both side of the robot to generate the roll motion This paper studies on the control for the roll motion of a underwater robot. A gyro-sensor is used to measure the angle in a roll motion We develop the dynamic model to describe the robot's roll motion by a second order non-linear system and identify the model parameters by recursive least square and adaptive identifier. PD control, recursive model based control and adaptive model based control are applied with the dynamic model which computes the control input to compensate disturbances. This paper introduces the underwater robot system and presents the simulated and experimental results of the proposed controller.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.190-196
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• 2014

In this paper, we get state equations based on wheel's rotation, tilt and steering are independent each other in balancing robot. Accordingly, we propose two LQR controllers which are appropriate for rotation and steering control of a balancing robot. And its superiority and appropriateness are demonstrated by a comparison to a PID method. Simulation results verify the possibility of upright balancing, rectilinear motion and position control. Moreover, experimental results show that it guarantees the performance to apply the two LQR controllers to balance the robot.

• Journal of Advanced Navigation Technology
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• v.10 no.2
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• pp.113-120
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• 2006

In this paper, a vision-based robust controller for tracking the desired trajectory a robot manipulator is proposed. The trajectory is generated to move the feature point into the desired position which the robot follows to reach to the desired position. To compensate the parametric uncertainties of the robot manipulator which contain in the control input, the robust controller is proposed. In addition, if there are uncertainties in the Jacobian, to compensate it, a vision-based robust controller which has control input is proposed as well in this paper. The stability of the closed-loop system is shown by Lyapunov method. The performance of the proposed method is demonstrated by simulations and experiments on a two degree of freedom 5-link robot manipulators.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1679-1687
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• 2016

Mobile robots are effectively used in industrial fields that require flexible manufacturing systems. Mobile robots have to move with mechanical loads such as product parts along the specified paths, and are usually equipped with kinematic controllers. When the loads and nonlinear frictions are too high, satisfactory control performances can not be expected with the kinematic controllers, so some dynamic controllers have been developed. Conventional dynamic controllers require the exact weights and locations of the loads; however, the loads are frequently changed and unknown so that the control performances of the conventional controllers are limited. This paper proposes an adaptive PD control method using gradient descent learning to have sufficient dynamic control performance for unknown loads. Simulation studies have been conducted for various load conditions to verify that the adaptive PD control method have much broader convergence region than the convention method.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.525-532
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• 2004

Telemanipulator is distingushed from industrial robot by iterating same specified work. Manipulator operator is included in control loop for controlling the telemanipulator because he decide directly during the work and order controllabily. We implement fuzzy controller for reducing the modelling error of telemanipulator which depend on the PID controller. But position-force control method of bidirectional control impose unsafety of vibiration and Analytic Hierchy method can stabilize for reducing nonlinear modelling error by expert operator because of transformation empirical control rule to linear model.