Hyun Min Do

Dual arm robot for packaging and assembling of IT products

A necessity for an automation in a cell production line is recently increasing and a dual arm robot draws an attention as a solution because it has a flexibility and it can work in a similar way with a human. This paper presents a design methodology of a dual-arm robot and its application to the cell production line for packaging and assembling of IT products like cell phone, television and so on. A requirement is suggested in designing a dual arm robot and the structure of software framework to operate dual arm robot is also proposed. The design procedure of a robot cell production system is discussed and the concept of robot cell production line in packaging cell phones is described.

Visual Mark for Robot Manipulation and Its RT-Middleware Component

In this paper, a visual marker called Coded Landmark for Ubiquitous Environment (CLUE) is proposed for easy robot manipulation using the RT-middleware component technology. Currently, home service robots are being expected to work in human living environments; however, such environments might be highly complex for robots. One of the solutions to solve such problems might be the development of structured environments for robots, such as visual marks in human living space, which could often be used in industrial fields, e.g., marked lines for mobile robots in industry. For application of structured environments from the factory to the human living environment, the affinity to humans might be important, such as marks invisible to humans, but visible to robots. In this paper, an invisible marker, CLUE, which is based on QR codes, is proposed; this will provide robots with information on the objects that are to be manipulated and visual guidance required for robot manipulation based on the RT-middleware platform. Finally, by means of actual robot applications, the method to use the proposed robot technology component is shown.

Unscented information filtering method for reducing multiple sensor registration error

In this paper, new filtering method for sensor registration is provided to estimate and correct error of registration parameters in multiple sensor environments. Sensor registration is based on filtering method to estimate registration parameters in multiple sensor environments. Accuracy of sensor registration can increase performance of data fusion method selected. Due to various error sources, the sensor registration has registration errors recognized as multiple objects even though multiple sensors are tracking one object. In order to estimate the error parameter, new nonlinear information filtering method is developed using minimum mean square error estimation. Instead of linearization of nonlinear function like an extended Kalman filter, information estimation through unscented prediction is used. The proposed method enables to reduce estimation error without a computation of the Jacobian matrix in case that measurement dimension is large. A computer simulation is carried out to evaluate the proposed filtering method with an extended Kalman filter.

Object Recognition Method for Industrial Intelligent Robot

The introduction of industrial intelligent robot using vision sensor has been interested in automated factory. 2D and 3D vision sensors have used to recognize object and to estimate object pose, which is for packaging parts onto a complete whole. But it is not trivial task due to illumination and various types of objects. Object image has distorted due to illumination that has caused low reliability in recognition. In this paper, recognition method of complex shape object has been proposed. An accurate object region has detected from combined binary image, which has achieved using DoG filter and local adaptive binarization. The object has recognized using neural network, which is trained with sub-divided object class according to object type and rotation angle. Predefined shape model of object and maximal slope have used to estimate the pose of object. The performance has evaluated on ETRI database and recognition rate of 96% has obtained.

Design and control of dual-arm robot for cell manufacturing process

Recently, the requirement of an automation in the cell production system is increasing due to a decrease of a skilled workers who are the key point of a cell production system. Thus a dual-arm robot draws an attention for an alternative. This paper presents a design scheme of a dual-arm robot and controller structure for an application to industrial cell production spot. A design concept and a prototype robot are suggested.

Multiple robots localization using large planar camera array for automated guided vehicle system

Vision based localization techniques in an intelligent environments have been well studied. But it still faces several difficulties, such as limited surveillance area, low response speed, relative high computation cost and so on. In this work, we create a large planar camera array which extremely extends the scope of surveillance area, and more precisely localizes robots with high response speed for AGV system. In this camera array system, color based tracking algorithm efficiently performs the task of localizing and identifying robots. A hybrid tracking algorithm intelligently controls the camera array and significantly reduces the redundancy of image data to be processed. Therefore, the whole camera array can be controlled by one normal PC rather than the expensive and powerful computer cluster or embedding the micro-processor into cameras. The system also can automatically re-calibrate cameras if the pose of camera changes during an accident. Experiments show the camera array consisting of 15 cameras can localize 5 robots with 20 Hz~60 Hz.

Design of an modular actuation module for a dual arm robot manipulator

There are many needs for the safe and the compact actuator with light weight in the robotic research field because the robot makers want to make their robot manipulator much safer and lighter for human-robot co-existence environment. For this reason, a new modular actuator has been developed and its research results will be introduced in this paper.

Motion simulation model for beam type solar cell substrate transport robot

The automated solar cell process line is composed of various types of solar cell substrate handling robots such as cassette transfer robots, glass handling robots and vacuum robots. This paper is focusing on the beam type solar cell substrate transport robot and presents the design procedure for motion simulation model. The simulation model for beam type robot is constructed by using Matlab/Simulink and SimMechanics. The trajectory is generated based on the one tack time motion and the tracking performance using the simulation model is predicted as well.

Development of simulation framework for ubiquitous robots using RT-middleware

This paper presents a simulation framework for ubiquitous robot and sensors. For ubiquitous robot, the importance of a distributed sensor environment is emphasized. To simulate such an environment, the effect of environment sensor should be considered as well as a robot itself to verify the performance of the overall system. To remedy this problem, the integrated simulation framework is suggested. In the proposed scheme, each sensor and robot are implemented as RT components. This can be achieved using RT-middleware, which is developed by AIST. Using RT components, the interface module can be reused in real environment because the interface module will have common design between the simulation space and the real environment. This is one of merits of RT-Middleware. OpenHRP, which is considered as target platform, is also introduced.

Development of Industrial High-Speed Transfer Parallel Robot

Parallel robots used in industry require high stiffness or high speed because of their structural characteristics. Nowadays, the importance of rapid transportation has increased in the distribution industry. In this light, an industrial parallel robot has been developed for high-speed transfer. The developed parallel robot can handle a maximum payload of 3 kg. For a payload of 0.1 kg, the trajectory cycle time is 0.3 s (come and go), and the maximum velocity is 4.5 m/s (pick amp, place work, adept cycle). In this motion, its maximum acceleration is very high and reaches approximately 13g. In this paper, the design, analysis, and performance test results of the developed parallel robot system are introduced.