• Title/Summary/Keyword: Robotic Automation System

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Development of the Noise Elimination Algorithm of Stereo-Vision Images for 3D Terrain Modeling (지반형상 3차원 모델링을 위한 스테레오 비전 영상의 노이즈 제거 알고리즘 개발)

  • Yoo, Hyun-Seok;Kim, Young-Suk;Han, Seung-Woo
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.2
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    • pp.145-154
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    • 2009
  • For developing an Automation equipment in construction, it is a key issue to develop 3D modeling technology which can be used for automatically recognizing environmental objects. Recently, for the development of "Intelligent Excavating System(IES), a research developing the real-time 3D terrain modeling technology has been implemented from 2006 in Korea and a stereo vision system is selected as the optimum technology. However, as a result of performance tests implemented in various earth moving environment, the 3D images obtained by stereo vision included considerable noise. Therefore, in this study, for getting rid of the noise which is necessarily generated in stereo image matching, the noise elimination algorithm of stereo-vision images for 3D terrain modeling was developed. The consequence of this study is expected to be applicable in developing an automation equipments which are used in field environment.

Backstepping-Based Control of a Strapdown Boatboard Camera Stabilizer

  • Setoodeh, Peyman;Khayatian, Alireza;Farjah, Ebrahim
    • International Journal of Control, Automation, and Systems
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    • v.5 no.1
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    • pp.15-23
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    • 2007
  • In surveillance, monitoring, and target tracking operations, high-resolution images should be obtained even if the target is in a far distance. Frequent movements of vehicles such as boats degrade the image quality of onboard camera systems. Therefore, stabilizer mechanisms are required to stabilize the line of sight of boatboard camera systems against boat movements. This paper addresses design and implementation of a strapdown boatboard camera stabilizer. A two degree of freedom(DOF)(pan/tilt) robot performs the stabilization task. The main problem is divided into two subproblems dealing with attitude estimation and attitude control. It is assumed that exact estimate of the boat movement is available from an attitude estimation system. Estimates obtained in this way are carefully transformed to robot coordinate frame to provide desired trajectories, which should be tracked by the robot to compensate for the boat movements. Such a practical robotic system includes actuators with fast dynamics(electrical dynamics) and has more degrees of freedom than control inputs. Backstepping method is employed to deal with this problem by extending the control effectiveness.

Design of Integrated Control Software for Automated Observing System

  • Ji, Tae-Geun;Lee, Hye-In;Pak, Soojong;Im, Myungshin;Lee, Sang-Yun;Gibson, Coyne A.;Kuehne, John;Marshall, Jennifer
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.57.2-57.2
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    • 2017
  • Remote and robotic telescopes are the most effective instrument for astronomical survey projects. The system is based on the dynamic operation of all astronomical instruments such as dome and telescope control system (TCS), focuser, filter wheel and data taking camera. We adopt the ASCOM driver platform to control the instruments through the integrated software. It can convert different interface libraries from various manufacturers into a uniform standard library. This allows us to effectively control astronomical instruments without modifying codes. We suggest a conceptual design of software for automation of a small telescope such as the new wide-field 0.25m telescope at McDonald Observatory. It can also be applied to operation of multi-telescopes in future projects.

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Impedance Control of Flexible Base Mobile Manipulator Using Singular Perturbation Method and Sliding Mode Control Law

  • Salehi, Mahdi;Vossoughi, Gholamreza
    • International Journal of Control, Automation, and Systems
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    • v.6 no.5
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    • pp.677-688
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    • 2008
  • In this paper, the general problem of impedance control for a robotic manipulator with a moving flexible base is addressed. Impedance control imposes a relation between force and displacement at the contact point with the environment. The concept of impedance control of flexible base mobile manipulator is rather new and is being considered for first time using singular perturbation and new sliding mode control methods by authors. Initially slow and fast dynamics of robot are decoupled using singular perturbation method. Slow dynamics represents the dynamics of the manipulator with rigid base. Fast dynamics is the equivalent effect of the flexibility in the base. Then, using sliding mode control method, an impedance control law is derived for the slow dynamics. The asymptotic stability of the overall system is guaranteed using a combined control law comprising the impedance control law and a feedback control law for the fast dynamics. As first time, base flexibility was analyzed accurately in this paper for flexible base moving manipulator (FBMM). General dynamic decoupling, whole system stability guarantee and new composed robust control method were proposed. This proposed Sliding Mode Impedance Control Method (SMIC) was simulated for two FBMM models. First model is a simple FBMM composed of a 2 DOFs planar manipulator and a single DOF moving base with flexibility in between. Second FBMM model is a complete advanced 10 DOF FBMM composed of a 4 DOF manipulator and a 6 DOF moving base with flexibility. This controller provides desired position/force control accurately with satisfactory damped vibrations especially at the point of contact. This is the first time that SMIC was addressed for FBMM.

Multi-Dimensional Reinforcement Learning Using a Vector Q-Net - Application to Mobile Robots

  • Kiguchi, Kazuo;Nanayakkara, Thrishantha;Watanabe, Keigo;Fukuda, Toshio
    • International Journal of Control, Automation, and Systems
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    • v.1 no.1
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    • pp.142-148
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    • 2003
  • Reinforcement learning is considered as an important tool for robotic learning in unknown/uncertain environments. In this paper, we propose an evaluation function expressed in a vector form to realize multi-dimensional reinforcement learning. The novel feature of the proposed method is that learning one behavior induces parallel learning of other behaviors though the objectives of each behavior are different. In brief, all behaviors watch other behaviors from a critical point of view. Therefore, in the proposed method, there is cross-criticism and parallel learning that make the multi-dimensional learning process more efficient. By ap-plying the proposed learning method, we carried out multi-dimensional evaluation (reward) and multi-dimensional learning simultaneously in one trial. A special neural network (Q-net), in which the weights and the output are represented by vectors, is proposed to realize a critic net-work for Q-learning. The proposed learning method is applied for behavior planning of mobile robots.

All kinds of singularity avoidance in redundant manipulators for autonomous manipulation

  • Kim, Jin-Hyun;Marani, Giacomo;Chung, Wan-Kyun;Yuh, Jun-Ku
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1587-1592
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    • 2003
  • There are three kinds of singularity in controlling redundant manipulators. Kinematic, algorithmic and representation singularities are those. If manipulators fall into any singularity without proper action to avoid it, the control system must go away from our desire, and we can meet a dangerous situation. Hence, we have to deal the singularities very carefully. In this paper, we describe an on-line solution for avoiding the occurrence of both algorithmic and kinematic singularities in task-priority based kinematic controllers of robotic manipulators. Representation singularity can be easily avoided by using proper representation algorithm, so, in this paper, we only consider kinematic and algorithmic singularities. The proposed approach uses a desired task reconstruction and a successive task projection in order to maintain the measure for singularity over a user defined minimum value. It shows a gain in performance and a better task error especially when working in proximity of singular configurations. It is particularly suitable for autonomous systems where an off-line trajectory control scheme is often not applicable. The advantage and performance of the proposed controller is verified by simulation works. And, the experiment with real manipulator is remaining for the future works.

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Micro Robotic Suspended Cell Injection System for Automatic Batch Bio-manipulation (통합 자동화 세포 조작을 위한 마이크로 로보틱 서스펜디드 셀 연젝션 시스템)

  • Kim, Seung-Min;Huang, Haibo;Nahm, Yoon-Eui
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.31 no.4
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    • pp.77-85
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    • 2008
  • 생물학적인 셀 인젝션 기술은 유전자 주입, 시험관 배양, 인공수정 및 신약개발 분야에서 광범위하게 사용되어 오고 있는 기술이다. 생물공학에서 다루는 셀 인젝션 기술은 크게 착생세포 인젝션과 서스펜디드 셀 인젝션으로 구분할 수 있다. 최근 상용화 장비로 출시되고 있는 것들은 착생세포에 대한 자동 인젝션 시스템이 대부분을 차지하고 있다. 반면, 서스펜디드 셀 인젝션 시스템의 경우는 비교적 최근들어 자동화 장비 및 방법론의 개발에 대한 논의가 이루어지고 있는 실정으로 실제 수많은 연구자들의 노력에 힘입어 서스펜디드 셀을 대상으로 한 통합 자동화 셀 인젝션 시스템의 개발이 가속화되고 있기는 하지만 이에 대한 만족할 만한 성과는 아직 이루어 지지 않고 있는 실정이다. 본 논문은 서스펜디드 셀을 대상으로 한 인젝션 시스템 개발에 관한 것으로 특히 셀 홀딩 시스템과 최적의 인젝션 피펫 궤적을 결정하기 위한 시스템 개발에 관한 것이다. 본 논문에서 다루어지는 서스펜디드 셀은 통합 자동화를 위하여 특별히 고안된 셀홀딩 시스템에 의하여 배열의 형태로 고정되며, 셀 인젝션 시스템은 엠브리오와 인젝션 피켓을 이미지 프로세싱 기술에 의하여 인식하고 피펫의 인젝션 궤적을 결정하는 것을 포함하고 있다.

Development of Detailed Design Automation Technology for AI-based Exterior Wall Panels and its Backframes

  • Kim, HaYoung;Yi, June-Seong
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1249-1249
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    • 2022
  • The facade, an exterior material of a building, is one of the crucial factors that determine its morphological identity and its functional levels, such as energy performance, earthquake and fire resistance. However, regardless of the type of exterior materials, huge property and human casualties are continuing due to frequent exterior materials dropout accidents. The quality of the building envelope depends on the detailed design and is closely related to the back frames that support the exterior material. Detailed design means the creation of a shop drawing, which is the stage of developing the basic design to a level where construction is possible by specifying the exact necessary details. However, due to chronic problems in the construction industry, such as reducing working hours and the lack of design personnel, detailed design is not being appropriately implemented. Considering these characteristics, it is necessary to develop the detailed design process of exterior materials and works based on the domain-expert knowledge of the construction industry using artificial intelligence (AI). Therefore, this study aims to establish a detailed design automation algorithm for AI-based condition-responsive exterior wall panels and their back frames. The scope of the study is limited to "detailed design" performed based on the working drawings during the exterior work process and "stone panels" among exterior materials. First, working-level data on stone works is collected to analyze the existing detailed design process. After that, design parameters are derived by analyzing factors that affect the design of the building's exterior wall and back frames, such as structure, floor height, wind load, lift limit, and transportation elements. The relational expression between the derived parameters is derived, and it is algorithmized to implement a rule-based AI design. These algorithms can be applied to detailed designs based on 3D BIM to automatically calculate quantity and unit price. The next goal is to derive the iterative elements that occur in the process and implement a robotic process automation (RPA)-based system to link the entire "Detailed design-Quality calculation-Order process." This study is significant because it expands the design automation research, which has been rather limited to basic and implemented design, to the detailed design area at the beginning of the construction execution and increases the productivity by using AI. In addition, it can help fundamentally improve the working environment of the construction industry through the development of direct and applicable technologies to practice.

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Development of a Real-time Lifting-path Tracking System of a Tower-crane for Steel Members based on an Integrated Wireless RF Modem and GPS System (무선 RF모뎀과 GPS를 통합한 타워크레인의 철골부재의 실시간 양중위치 추적시스템 개발)

  • Yun, Seok-Heon;Lee, Ghang
    • Journal of the Korea Institute of Building Construction
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    • v.10 no.3
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    • pp.65-70
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    • 2010
  • Steel frame construction in high places entails many risk factors. In order to improve the safety and productivity of steel frame construction, a project to develop a robotic tower-crane has been undertaken. As the first step, a real-time lifting-path tracking system is being developed. In a previous study, a laser-based tracking system was proposed. While a laser-based tracking system requires at least three laser sensors to detect the x, y, z coordinates of a lifted steel member, a GPS-based system has an advantage over the laser-based system, in that the x, y, z coordinates of a lifted steel member can be detected by a single GPS sensor. To improve the accuracy, arelative positioning method using two GPS sensors was proposed in a previous study. This paper reports an improved GPS-based lifting-path tracking system of a tower crane based on an integrated RF modem and GPS system. The results showedthat the RF modem could successfully send the identifier information to a server a maximum distance of 1 km away from the lifted steel beam, and the lifting path information of each beam captured by the GPS-based tracking system was successfully saved together. Also, byusing an improved algorithm for the GPS relative positioning method, the deviation was reduced to 0.61 m on average.

Merging of Topological Map and Grid Map using Standardized Map Data Representation (표준화된 지도 데이터 표현방법을 이용한 위상지도와 격자지도의 병합)

  • Jin, Hee-Seon;Yu, Wonpil;Moon, Hyungpil
    • The Journal of Korea Robotics Society
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    • v.9 no.2
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    • pp.104-110
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    • 2014
  • Mapping is a fundamental element for robotic services. There are available many types of map data representation such as grid map, metric map, topology map, etc. As more robots are deployed for services, more chances of exchanging map data among the robots emerge and standardization of map data representation (MDR) becomes more valuable. Currently, activities in developing MDR standard are underway in IEEE Robotics and Automation Society. The MDR standard is for a common representation and encoding of the two-dimensional map data used for navigation by mobile robots. The standard focuses on interchange of map data among components and systems, particularly those that may be supplied by different vendors. This paper aims to introduce MDR standard and its application to map merging. We have applied the basic structure of the MDR standard to a grid map and Voronoi graph as a kind of topology map and performed map merging between two different maps. Simulation results show that the proposed MDR is suitable for map data exchange among robots.