• Journal of Information Processing Systems
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• v.19 no.3
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• pp.370-376
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• 2023

Aiming at the problems of low image enhancement accuracy, long enhancement time and poor image quality in the traditional robot sequence motion image enhancement methods, an adaptive enhancement method for robot sequence motion image is proposed. The feature representation of the image was obtained by Karhunen-Loeve (K-L) transformation, and the nonlinear relationship between the robot joint angle and the image feature was established. The trajectory planning was carried out in the robot joint space to generate the robot sequence motion image, and an adaptive homomorphic filter was constructed to process the noise of the robot sequence motion image. According to the noise processing results, the brightness of robot sequence motion image was enhanced by using the multi-scale Retinex algorithm. The simulation results showed that the proposed method had higher accuracy and consumed shorter time for enhancement of robot sequence motion images. The simulation results showed that the image enhancement accuracy of the proposed method could reach 100%. The proposed method has important research significance and economic value in intelligent monitoring, automatic driving, and military fields.

• Journal of the Korean Society of Industry Convergence
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• v.18 no.2
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• pp.75-81
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• 2015

This study proposes an articulated robot control system using an on/off-line robot graphic simulator with multiple networks. The proposed robot control system consists of a robot simulator using OpenGL, a robot controller based on a DSP(TMS320) motion board, and the server/client communication by multiple networks. Each client can control the real robot through a server and can compare the real robot motion with the virtual robot motion in the simulation. Also, all clients can check and analyze the robot motion simultaneously through the motion image and data of the real robot. In order to show the validity of the presented system, we present an experimental result for a 6-axis vertical articulated robot. The proposed robot control system is useful, especially, in the industrial fields using remote robot control as well as industrial production automation with many clients.

• Journal of Platform Technology
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• v.6 no.3
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• pp.23-30
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• 2018

A motion pattern generation is a process of calculating a certain stable motion trajectory for stably operating a certain motion. A motion control is to make a posture of a robot stable by eliminating occurring disturbances while a robot is in operation using a pre-generated motion pattern. In this paper, a general method of motion pattern generation for a biped walking robot using universal approximator, learning neural networks, is proposed. Existing techniques are numerical methods using recursive computation and approximating methods which generate an approximation of a motion pattern by simplifying a robot's upper body structure. In near future other approaches for the motion pattern generations will be applied and compared as to be done.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.124-126
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• 2009

In this paper a pendulum-driven type spherical mobile robot is introduced. Many researchers have been studied about a spherical mobile robot. we developed a pendulum-driven type spherical mobile robot and analyzed mechanism of pendulum motion. Mechanism of pendulum motion applied to the robot. Consequently, we could verify the motion of the robot as motion of pendulum.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.6
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• pp.375-382
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• 2016

This paper realizes control of the motion of a swimming robot fish in order to implement an underwater robot fish aquarium. And it implements positional control of a two-axis trajectory path of the robot fish in the aquarium. The performance of the robot was verified though certified field tests. It provided excellent performance in driving force, durability, and water resistance in experimental results. It can control robot motion, that is, it recognizes an object by using an optical flow object-detecting algorithm, which uses a video camera rather than image-detecting sensors inside the robot fish. It is possible to find the robot's position and control the motion of the robot fish using a radio frequency (RF) modem controlled via personal computer. This paper proposes realization of robot fish motion-tracking control using the optical flow object-detecting algorithm. It was verified via performance tests of lead-lag action control of robot fish in the aquarium.

• Journal of the Ergonomics Society of Korea
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• v.8 no.2
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• pp.19-26
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• 1989

This study, as a part of integrated human-robot ergonomics, improves the robot motion control on the robot task in the TOES/WCS whose purpose is improving the teaching task constructed in the previous study. First, the updated combined fuzzy process using a new membership function with Weber's law is constructed for the purpose of coordinate reading of the end points in the macro motion control. Second, an algorithm using the geometric analysis is desinged in order to calculate position values and posture values of the robot joints. Third, the MGSLM method is designed to remove unnecessary the robot motion control caused by the GSLM method in the micro motion control. Consequently, proposed methods in this study lessen burdcn of a human of an improvement of the robot motion control and reduce the teaching time of a human operator and inaccuracy of the teaching task, which contribute to the integrated human-robot ergonomics.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.3_1spc
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• pp.558-565
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• 2013

This paper describes a whole-body (human body's) motion generation scheme for an android robot that uses motion capture device and a nonlinear constrained optimization method. Because the captured motion data are based on global coordinates and the actors have different heights and different upper-lower body ratios, the captured motion data cannot be used directly for a humanoid robot. In this paper, we suggest a method for obtaining robot joint angles, which allow the resultant robot motion to be as close as possible to the captured human motion data, by applying a nonlinear constrained optimization method. In addition, the results are animated to demonstrate the similarity of the motions.

• Journal of the Ergonomics Society of Korea
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• v.9 no.2
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• pp.21-28
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• 1990

The robot motion control in the industrial robot is generally executed by the teach pendant. But, it requires much teaching time and workload to the operators. This study suggests the use of the robot motion control method by the computed keyboard in the industrial robot instead of the teach pendant. TES/CCS(Teaching Expert System/Cartesian Coordinate System) and TES/WCS(Teaching Expert System/World Coordinate System) that have been proposed to improve the robot motion control are applied for this concept. This study is intended to improve the robot motion control in TES/CCS. Parameter limitation problems in getting the motion data on position and posture of the robot in macro motion control are solved by proposed geometric algorithm. This result demonstrates reduction of the average teaching task time to the teaching position.

• The Journal of Korea Robotics Society
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• v.5 no.1
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• pp.23-31
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• 2010

This paper suggests a multiple robot simulator which considers the uncertainties in robot motion and sensing. A mobile robot moves with errors due to some kinds of uncertainties from actuators, wheels, electrical components, environments. In addition, sensors attached to a mobile robot can't make accurate output information because of uncertainties of the sensor itself and environment. Uncertainties in robot motion and sensing leads researchers find difficulty in building mobile robot navigation algorithms. Generally, a robot algorithm without considering unexpected uncertainties fails to control its action in a real working environment and it leads to some troubles and damages. Thus, the authors propose a simulator model which includes robot motion and sensing uncertainties to help making robust algorithms. Sensor uncertainties are applied in range sensors which are widely used in mobile robot localization, obstacle detection, and map building. The paper shows performances of the proposed simulator by comparing it with a simulator without any uncertainty.

• Journal of information and communication convergence engineering
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• v.8 no.2
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• pp.180-184
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• 2010

This paper proposes a robot motion authoring using finger-robot interaction. The proposed method is a user friendly method that easily authors (creates and controls) robot motion according to the number of fingers. The effectiveness of the proposed motion authoring method was verified based on motion authoring simulation of an industrial robot.