• Title/Summary/Keyword: handling robot

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Design and Fabrication of Coaxial Rotorcraft-typed Micro Air Vehicle for Indoor Surveillance and Reconnaissance (실내감시정찰용 동축반전 헬리콥터형 미세비행체 설계 및 제작)

  • Byun, Young-Seop;Shin, Dong-Hwan;An, Jin-Ung;Song, Woo-Jin;Kim, Jeong;Kang, Beom-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.12
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    • pp.1388-1396
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    • 2011
  • This paper is focused on the procedure of the development of a micro air vehicle which has vertical take-off and landing capability for indoor reconnaissance mission. Trade studies on mission feasibility led to the proposal of a coaxial rotorcraft configuration as the platform. The survey to provide a guide for preliminary design were conducted based on commercial off-the-shelf platform, and the rotor performance was estimated by the simple momentum theory. To determine the initial size of the micro air vehicle, the modified conventional fuel balance method was applied to adopt for electric powered vehicle, and the sizing problem was optimized with the sequential quadratic programming method using MATLAB. The designed rotor blades were fabricated with high strength carbon composite material and integrated with the platform. The developed coaxial rotorcraft micro air vehicle shows stable handling quality with manual flight test in indoor situation.

A Study on the Drive of Experimental Heavy Duty Handling Robot (실험용 초중량물 핸들링 로봇의 구동에 관한 연구)

  • Ko, Chang-Min;Park, Seung-Kyu;Chung, Won-Ji;Kim, Doo-Hyeong;Chung, Gwang-Jo
    • Proceedings of the KIEE Conference
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    • 2008.04a
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    • pp.251-252
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    • 2008
  • 본 연구는 6축 초중량물 핸들링로봇의 제어 성능을 구현하기 위해 전체적이 로봇의 제어에 가장 중요한 요소인 2축과 3축만을 가진 2축으로 된 실험용 로봇을 설계 제작하고 모션 제어기를 직접 설계하여 드라이브를 토크모드로 설정하고 구동실험을 수행하였다. 제어기로는 DSP를 사용하였으며 이는 초중량물을 핸들링하기 위해서는 샘플링주기를 작게 하기 위함이다. 해 연산 실행 속도가 빠른 DSP를 이용하였다. DSP와 AC 서보모터 드라이브 간의 인터페이스를 설계 제작 하였으며, PI제어기 알고리즘을 설계하여 직선보간 알고리즘에 적용함으로써 최종목적인 가반하중이 600Kg급 부하에도 강한 초중량물 핸들링 지능형 6축 로봇의 실현을 위해 원하는 경로를 부하의 영향에 받지 않는 고속 고응답성을 구현할 수 있는 2축 로봇제어에 대만 실험을 수행하였다. 속도, 위치제어에 대한 알고리즘으로는 PID 제어기를 사용하였다. 본 연구의 의의는 초중량물 핸들링 로봇의 제어에 있어서 로봇의 설계 및 제작이 최적화되어 있다면 작은 부하용 로봇의 제어와 크게 다를 바 없음을 보여주는데 있다.

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Characteristics of Needle Insertion Performance of Automated Biopsy Device for Robotic Needle Insertion Type Intervention: Insertion Depth and Accuracy (로봇 자동화 바늘삽입형 중재시술을 위한 자동화 생검장치의 바늘삽입 특성: 바늘삽입 깊이 및 삽입정확도)

  • Moon, Youngjin;Choi, Jaesoon
    • Journal of the Korean Society for Precision Engineering
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    • v.33 no.7
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    • pp.565-570
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    • 2016
  • This paper presents the characteristics related to needle insertion of a robotic device for the automated biopsy procedure. The automated biopsy device, a main component of the robotic needle insertion type intervention system, allows performance of the full biopsy procedure, except for anesthesia, without direct handling of a radiologist or a tele-operated control. In this study, the needle length parameters corresponding to various insertion depths and precision for needle insertion of the automated biopsy device, are discussed. There were two combinations of needle length parameters for appropriate needle insertion and motion capture-based measurement was performed; 0.156 mm error for the 90 mm length commanded insertion displacement was measured. The pre-defined goal is a maximum 1 mm error and thus our measured error is within the acceptable range. In the repeatability check, it was also shown that the device can implement a highly accurate insertion.

Implementation of e-Meters System Middleware base on RFID/USN (RFID/USN기반 e-Meters 시스템의 미들웨어 구현)

  • Jun, Won-Goo;Lee, Myung-Ho
    • Journal of Advanced Navigation Technology
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    • v.15 no.5
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    • pp.729-734
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    • 2011
  • In this paper, e-Meters middleware and applications using standardized middleware in the EPCglobal is suggested. An standardized middleware of the EPCglobal is designed to manage as a form of SCM and other logistics. In order to support a variety of services using RFID-based, the system must be able to support each protocol. The main features of e-Meters middleware is consist of information status and delivery, distributed database processing, event data analysis, and handling. To operate real time e-Meters system information, The realized middleware is configured to process the results of data collection.

A Study on Flexible Control and Design of Robot Hand Fingers with Eight Axes for Smart Factory

  • Sim, Hyun-Seok;Bae, Ho-Young;Kim, Du-Beum;Han, Sung-Hyun
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.4
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    • pp.183-189
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    • 2018
  • The focus of this paper is to design and control a three fingered hand system with eight axes for smart factory with an flexible controller, and to keep a useful big database for dynamic manipulation based on the experimental results. The weight of the hand module is only 1.2 kg, but flexible motion and powerful grasping are possible. To achieve such a flexible motion control of a robotic hand, we have developed a robust and precise fingered hand with a control system incorporating image recognition system in which we deal with the problems of not only accuracy and range of motion but also the flexibility of hand. The fingers are arranged so as to grasp both circular and prismatic objects. In order to achieve the light mechanism, we reduced the number of joints and fingers as much as possible. In this study, it was used three fingers with eight axes which is the optimal number to achieve a robust grasping diverse shape parts for smart factory.

Construction Ergonomic Intervention to Reduce Musculoskeletal Disorders in Aluminum Formworkers

  • Kim, Dae Young;Yi, Hak;Lee, Sang Ryong;Kim, Bubryur;Lee, Dong-Eun
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.465-472
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    • 2022
  • Manual material handling is the one of the leading causes for musculoskeletal disorders (MSDs) and lower back discomfort. According to a study, construction formworkers suffer greater rates of muscular injuries and related illness due to manual activities. However, there is still a paucity of information on MSD, preventive posture issues, and corresponding solutions for construction aluminum formworkers. As a result, MSD and disregard of worker health and safety continue to exist at construction sites. Although preventive measures and strategies have been studied in previous research, we believe it is imperative to shed light on this problem through this study. This study aims to 1) implement a simple and cost-effective elevated bench to reduce MSDs, and 2) determine the rapid upper limbs assessment (RULA) and Ovako working posture analyzing system (OWAS) action catagory of workers in different postures to assess their MSD conditions and obtain an optimal position and posture using the Jack human modeling software and simulation tool. The study findings reveal a considerable reduction in MSD discomfort and which posture is acceptable in post-intervention instances.Thus results provide inexpensive and simple ergonomic interventions with favorable RULA and OWAS ratings that can be applied at construction sites. This study demonstrates workstation ergonomic intervention cases that can aid in understanding the urgency of applying existing research strategies into practice.

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Bin-Picking Method Using Laser (레이저를 이용한 Bin-Picking 방법)

  • Joo, Kisee;Han, Min-Hong
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.9
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    • pp.156-166
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    • 1995
  • This paper presents a bin picking method using a slit beam laser in which a robot recognizes all of the unoccluded objects from the top of jumbled objects, and picks them up one by one. Once those unoccluded objects are removed, newly developed unoccluded objects underneath are recognized and the same process is continued until the bin gets empty. To recognize unoccluded objects, a new algotithm to link edges on slices which are generated by the orthogonally mounted laser on the xy table is proposed. The edges on slices are partitioned and classified using convex and concave function with a distance parameter. The edge types on the neighborhood slices are compared, then the hamming distances among identical kinds of edges are extracted as the features of fuzzy membership function. The sugeno fuzzy integration about features is used to determine linked edges. Finally, the pick-up sequence based on MaxMin theory is determined to cause minimal disturbance to the pile. This proposed method may provide a solution to the automation of part handling in manufacturing environments such as in punch press operation or part assembly.

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Design of Sensor Network for Estimation of the Shape of Flexible Endoscope (연성 대장내시경의 형상추정을 위한 센서네트워크의 설계)

  • Lee, Jae-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.2
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    • pp.299-306
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    • 2016
  • In this paper, a method of shape prediction of an endoscope handling robot that can imitate a surgeon's behavior using a sensor network is suggested. Unit sensors, which are composed of a 3-axis magnetometer and 3-axis accelerometer pair comprise the network through CAN bus communication. Each unit of the sensor is used to detect the angle of the points in the longitudinal direction of the robot, which is made from a flexible tube. The signals received from the sensor network were filtered using a low pass Butterworth filter. Here, a Butterworth filter was designed for noise removal. Finally, the Euler angles were extracted from the signals, in which the noise was filtered by the low path Butterworth filter. Using this Euler angle, the position of each sensor on the sensor network is estimated. The robot body was assumed to consist of links and joints. The position of each sensor can be assumed to be attached to the center of each link. The position of each link was determined using the Euler angle and kinematics equation. The interpolation was carried out between the positions of the sensors to be able to connect each point smoothly and obtain the final posture of the endoscope in operation. The experimental results showed that the shape of the colonoscope can be visualized using the Euler angles evaluated from the sensor network suggested and the shape of serial link estimated from the kinematics chain model.

Mobile Sensor Velocity Optimization for Chemical Detection and Response in Chemical Plant Fence Monitoring (사업장의 경계면에서 화학물질 감지 및 대응을 위한 이동식 센서 배치 최적화)

  • Park, Myeongnam;Kim, Hyunseung;Cho, Jaehoon;Lulu, Addis;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.21 no.2
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    • pp.41-49
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    • 2017
  • Recently, as the number of facilities using chemicals is increasing, the amount of handling is rapidly increasing. However, chemical spills are occurring steadily, and if large quantities of chemicals are leaked in time, they are likely to cause major damage. These industrial complexes use information obtained from a number of sensors to detect and monitor leaking areas, and are used in industrial fields by applying existing fixed sensors to robots and drones. Therefore, it is necessary to propose a sensor placement method at the interface for rapid detection and response based on various leaking scenarios reflecting leaking conditions and environmental conditions of the chemical handling process. In this study, COMSOL was used to analyze the actual accident scenarios by applying the medium parameter to the case of chemical leaks. Based on the accident scenarios, the objective function is selected so that the velocity of each robot is calculated by attaching importance to each item of sensor detection probability, sensing time and sensing scenario number. We also confirmed the feasibility of this method of reliability analysis for unexpected leak accidents. Based on the above results, it is expected that it will be helpful to trace back the leakage source based on the concentration data of the portable sensor to be applied later.

Ontology-Based Dynamic Context Management and Spatio-Temporal Reasoning for Intelligent Service Robots (지능형 서비스 로봇을 위한 온톨로지 기반의 동적 상황 관리 및 시-공간 추론)

  • Kim, Jonghoon;Lee, Seokjun;Kim, Dongha;Kim, Incheol
    • Journal of KIISE
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    • v.43 no.12
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    • pp.1365-1375
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    • 2016
  • One of the most important capabilities for autonomous service robots working in living environments is to recognize and understand the correct context in dynamically changing environment. To generate high-level context knowledge for decision-making from multiple sensory data streams, many technical problems such as multi-modal sensory data fusion, uncertainty handling, symbolic knowledge grounding, time dependency, dynamics, and time-constrained spatio-temporal reasoning should be solved. Considering these problems, this paper proposes an effective dynamic context management and spatio-temporal reasoning method for intelligent service robots. In order to guarantee efficient context management and reasoning, our algorithm was designed to generate low-level context knowledge reactively for every input sensory or perception data, while postponing high-level context knowledge generation until it was demanded by the decision-making module. When high-level context knowledge is demanded, it is derived through backward spatio-temporal reasoning. In experiments with Turtlebot using Kinect visual sensor, the dynamic context management and spatio-temporal reasoning system based on the proposed method showed high performance.