• Journal of Korea Society of Industrial Information Systems
• /
• v.16 no.3
• /
• pp.1-10
• /
• 2011

In this paper, we propose a face detection method for medical service robot. The proposed method is robust in complex background and light. Our method is performed by three steps. Firstly the background is eliminated using mean shift algorithm. Thereafter, based on color space, face is extracted. Finally the object is extracted using Haar-like feature method. To assess the effectiveness of the proposed system, it was tested and experimental results show that the proposed method is applicable for medical service robot.

• 제어로봇시스템학회:학술대회논문집
• /
• 1995.10a
• /
• pp.468-471
• /
• 1995

In this paper, we propose a new strategy for a space robot to control its attitude. A space robot is an example of a class of non-holonomic systems, a system of which cannot be stabilized into its equilibria with continuous static state feedbacks even in the case that the system is, in some sense, controllable. Thus, we cannot design stabilizing controllers for space robots using conventional control theories. The strategy presented here transforms the non-holonomic system into a time-state control form, and allows us to make the state of the original system any desired one. In the stabilization, any conventional control theory can be applied. For simplicity, a space robot with a two-link manipulator is considered, and a simulated motion of the controlled system is shown.

• Journal of Institute of Control, Robotics and Systems
• /
• v.6 no.4
• /
• pp.305-312
• /
• 2000

This paper presents a new control scheme using a sliding mode controller with a multilayer neural network for the robot manipulator operating under the sea which has large uncertainties such as the buoyancy and the added mass/moment of inertia. The multilayer neural network using the error back propagation loaming algorithm acts as a compensator of the conventional sliding mode controller to improve the control performance when the initial assumptions of uncertainty bounds are not valid. Computer simulation results show that the proposed control scheme gives an effective path way to cope with the unexpected large uncertainties in the underwater robot manipulator.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.10
• /
• pp.878-886
• /
• 2004

Uncertainties are inevitable in robotic assembly in unstructured environment since it is difficult to construct fixtures to guide motions of robots. This paper proposes an augmented Petri net and an algorithm to adapt the assembly model on-line during actual assembly process. The augmented Petri net identifies events using force and position information simultaneously. Unmodeled contact states are identified and incorporated into the model on-line. The proposed method increases the level of intelligence of the robot system by enhancing the autonomy. The proposed method is evaluated by simulation and experiments with L-type peg-in-hole assembly using a two-arm robot system.

• Journal of Institute of Control, Robotics and Systems
• /
• v.13 no.2
• /
• pp.163-172
• /
• 2007

A swarm-bot docking with two independent robots aiming at overcoming obstacles or climbing up/down stairs is introduced how it can be manufactured and controlled. Utilizing the fast mobility of the vehicle robot and cooperating between robots expands the applications of the robot. An algorithm for identifying the partner robot and its generic mechanism enabling the docking of two robots are addressed. The designed swarm-bot has advantages in terms of overcoming obstacle or stair climbing which is not easily implemented by a single robot, increasing the adaptability to the environment.

• Journal of Institute of Control, Robotics and Systems
• /
• v.13 no.2
• /
• pp.108-113
• /
• 2007

The robot introduced in this paper is the Fire-Extinguishing Rescue Robot for indoor work which is considered to be a part of the Operation for Future Developmental Power. It is briefly introduced about the background of how we began this project, our goals, where we are today and what we would like to achieve from now on. Main contents include introduction to the equipments for Fire-Extinguishing Rescue robots that have been developed in advanced countries and the compositional concept of the developmental process, the GUI schematic, searching methods for fire inside a house, mechanical schematic and the present conditions of how the core technologies are developing through.

• Journal of Institute of Control, Robotics and Systems
• /
• v.13 no.7
• /
• pp.671-676
• /
• 2007

In this paper, a novel neuro-fuzzy controller is presented. The generic fuzzy controller is compensated by a neural network controller so that an overall control structure forms a neuro-fuzzy controller. The proposed neuro-fuzzy controller solves the difficulty of selecting optimal fuzzy rules by providing the similar effect of modifying fuzzy rules simply by changing crisp input values. The performance of the proposed controller is tested by controlling humanoid robot arms. The humanoid robot arm is analyzed and implemented. Experimental studies have shown that the performance of the proposed controller is better than that of a PID controller and of a generic fuzzy PD controller.

• Journal of Institute of Control, Robotics and Systems
• /
• v.13 no.7
• /
• pp.649-655
• /
• 2007

In this paper, a time-delayed controller for position control of humanoid robot arms is designed and implemented on a field programmable gate array(FPGA) chip. The time-delayed control algorithm is simple to implement, and robust to reject disturbances. The time-delayed control method uses the one sample time-delayed previous information to cancel out uncertainties in the system. Since the sampling time is so fast with the current hardware technology, the time-delayed controller can be implemented. However, inertia values should be correctly estimated to have the better performance. The position tracking tasks of humanoid robot arms are tested to compare performances of several control algorithms including the time-delayed controller.

• Journal of the Korean Society for Precision Engineering
• /
• v.30 no.4
• /
• pp.375-382
• /
• 2013

Down through the years, human needs and desires have required a robot system to work at hazardous environments instead. Current painting task is costly and laborious, and it exposes workers to significant health and safety risks. Automation system offers potential improvement in this area and is especially well suited to the outer-wall painting tasks in concrete structures. This paper introduces the result of gondola-type building management robot(G-BMR) platform and mechanism for moving/tasking on building outer-wall for the outer-wall painting. Its technical and economic feasibility are conducted, and it is concluded that developing G-BMR is physically and economically feasible in this research. And we discuss about the future of G-BMR and automation in construction field.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.1
• /
• pp.10-14
• /
• 2004

We present a predictive control algorithm combined with the robust robot control that is constructed on the Lyapunov min-max approach. Since the control design of a real manipulator system may often be made on the basis of the imperfect knowledge about the model, it is an important trend to design a robust control law that guarantees the desired properties of the manipulator under uncertain elements. In the preceding robust control work, we need to tune several control parameters in the admissible set where the desired stability can be achieved. By introducing an optimal predictive control technique in robust control we can find out much more deterministic controller for both the stability and the performance of manipulators. A new class of robust control combined with an optimal predictive control is constructed. We apply it to a simple type of 2-link robot manipulator and show that a desired performance can be achieved through the computer simulation.