• Journal of the Korean Society for Precision Engineering
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• v.26 no.12
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• pp.78-84
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• 2009

When external force is applied to humanoid robot's head, humanoid robot's neck is rotated to prevent the damage of it. So, robot's neck have to perceive forces (Fx of x-direction, Fy of y-direction and Fz of z-direction) and moments (Mx of x-direction, My of y-direction and Mz of z-direction) using the attached 6-axis force/moment sensor. Thus, in this paper, 6-axis force/moment sensor was developed to sense the forces and moments applied to robot's head. The structure of 6-axis force/moment sensor was modeled newly, and it was designed using FEM software (ANSYS) and manufactured by attaching straingages on the sensing element, finally, the characteristic test of the sensor was carried out. As a result, it is confirmed that interference error is less than 3%. And, it is thought that the sensor can be used to measure the forces and the moments for humanoid robot's head.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.4
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• pp.338-344
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• 2002

In this paper, neural network force tracking control is proposed. The conventional impedance function is reformulated to have direct farce tracking capability. Neural network is used to compensate for all the uncertainties such as unknown robot dynamics, unknown environment stiffness, and unknown environment position. On line training signal of farce error for neural network is formulated. A large x-y table is built as a test-bed and neural network loaming algorithm is implemented on a DSP board mounted in a PC. Experimental studies of farce tracking on unknown environment for x-y table robot are presented to confirm the performance of the proposed technique.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.856-860
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• 2009

In this paper, we design and implement a surveillance robot to detect an intruder in an empty office. We use a TMO-Linux kernel for a real-time surveillance and use a X-Bot platform for a robot. We design and implement an image server to process images and to detect an intruder. And we design and implement a client to communicate with a image server and TMO server and control a camera on a surveillance robot.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.73-78
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• 2013

In this paper, configuration control for the Horizontal Maintenance of the 2 wheel robot has been studied using ARS(Attitude Refrence System). The 2 wheel robot technique is getting attention and there have been many researches on the seg-way since the US. Using its 2 freedom, a 2 wheel robot can move in various modes and Our robot performs goal reaching ARS.2 wheel robot fall down to the forward or reverse direction to converge to the stable point. Kalman Filter is normally used for the algorithm and numerous research is progressing at the moment. To calculate the attitude in ARS using 2 axis gyro(roll, pitch) and 3 axis accelerometers (x, y, z). In this paper we present a two wheel robot system for an autonomous mobile robot. This paper realized the robot control method which is much simpler but able to get desired performance by using the ARS control.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.36 no.4
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• pp.293-300
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• 1987

This paper presents a desing of a PWM programmable controller for industrial robot to be utilized in process which reqires various movements and repeating operations. To be specific, a low-level robot language is constructed which makes easy for the user to program complex robot motion, and an interpreter is developed to execute the program. Also, related hardware and software, and monitor program for convenience of user are implemented. When the proposed controller is applied to the catresian coordinate 4-axis manipulator, it reveals that the error probabilities of X,Y and Z axis as 0.033%, 0.023%,0.028% respectively.

• Journal of the Korean Society of Mechanical Technology
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• v.13 no.3
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• pp.7-16
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• 2011

This study proposes the compensation method for the mechanical deflection error of a SCARA robot. While most studies on the related subject have dealt with the development of a control algorithm for improvement of robot accuracy, this study presents the control method reflecting the mechanical deflection error which is predicted in advance. The deflection at the end of the gripper of SCARA robot is caused by the self-weights and payloads of Arm 1, Arm 2 and quill. If the deflection is constant even though robot's posture and payload vary, there may not be a big problem on robot accuracy because repetitive accuracy, that is relative accuracy, is more important than absolute accuracy in robot. The deflection in the end of the gripper varies as robot's posture and payload change. That's why the moments $M_x$, $M_y$ and $M_z$ working on every joint of a robot vary with robot's posture and payload size. This study suggests the compensation method which predicts the deflection in advance with the variations in robot's posture and payload using neural network. To do this, I chose the posture of robot and the payloads at random, found the deflections by the FEM analysis, and then on the basis of this data, made compensation possible by predicting deflections in advance successively with the variations in robot's posture and payload through neural network learning.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.11
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• pp.918-926
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• 2001

In this paper, intelligent control method using neural network as a nonlinear controller is presented. Simulation studies for three link rotary robot are performed. Neural network controller is implemented on DSP board in PC to make real time computing possible. On-line training algorithms for neural network control are proposed. As a test-bed, a large x-y table was build and interface with PC has been implemented. Experiments such as inverted pendulum control and large x-y table position control are performed. The results for different PD controller gains with neural network show excellent position tracking for circular trajectory compared with those for PD controller only. Neural control scheme also works better for controlling inverted pendulum on x-y table.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.3
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• pp.248-255
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• 2000

Whereas the linear PID controller is widely used for control of industrial servo systems a high precision positioning system is not easy to control only with the PID controller due to uncertain nonlinear dynamics such as friction backlash etc. As a viable means to overcome the difficulty a learning control scheme is proposed in this paper that is simple and straightforward to implement. The proposed learning controller takes full advantage of current feedback capability of the inner-loop of the control system in that electrical motor dynamics as the well as mechanical part of X-Y positioning system is included in the learning control scheme, The experimental results are given to demonstrate its feasibility and effectiveness in terms of convergence precision of tracking and robustness in comparison with the conventional control method.

• Journal of Biosystems Engineering
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• v.26 no.4
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• pp.391-398
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• 2001

A robot system for clone replication and gridding, which is a preliminary state of the genome research, was developed and evaluated its performance. This gridding robot system consisted of 1) a gridding heat that replicated the clone, 2) a manipulator, as a part of body of robot, which transferred the gridding head along x-, y-, z-axis, 3) a well plate arranging board, 4) a sterilization unit, and 5) a control unit. Performance of the system was evaluated with 1) repeatability of the robot system, 2) clone replication efficiency, 3) time requirement of the replication, and 4) sterilization efficiency. The repeatability error of the robot system showed 0.219 mm and 0.094 mm in the direction of x- and y-axis, respectively. The success rate of the clone replication with the gridding head was 100% on the membrane filter. The time required for the replication was four minutes and fifty-five seconds from the four 96 well plates to a 384 well plate meanwhile the required time with well experienced hand labor was three minutes thirty-five seconds. The gridding operation of clone could not be done by hand labor and the required time with robot system for the gridding on the membrance filter with the control program 5$\times$5: 1 copy and 384 gridding pins was twenty minutes and twenty-five seconds. The efficiency of the sterilization was considered to be satisfactory since no growth of fungi was found around the area of replication in the membrane filter.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.63 no.1
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• pp.50-53
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• 2014

Although there are some calculations of kinetics, dynamics, torque of each joint, size and weight which are used in implementing of humanoid robot, it is too expensive and need much education to make frame of robot body, actuator, and etc. Moreover, since there is lots of differences of operational principle, we need many kinds of experimental and education. However, the real humanoid robot is difficult to propagate because of its prices and other technical problems. Therefore we need small robot platform and control method which can give a enough education effect as similar as real humanoid robot. In this paper, the Kinect Sensor which made by Microsoft will be used for control method of humanoid platform.