• 제목/요약/키워드: Multi-Object Control

검색결과 193건 처리시간 0.026초

한 이미지 평면에 있는 다물체 화상처리 기법 개발 (Development of multi-object image processing algorithm in a image plane)

  • 장완식;윤현권;김재확
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.555-555
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    • 2000
  • This study is concentrated on the development of hight speed multi-object image processing algorithm, and based on these a1gorithm, vision control scheme is developed for the robot's position control in real time. Recently, the use of vision system is rapidly increasing in robot's position centre. To apply vision system in robot's position control, it is necessary to transform the physical coordinate of object into the image information acquired by CCD camera, which is called image processing. Thus, to control the robot's point position in real time, we have to know the center point of object in image plane. Particularly, in case of rigid body, the center points of multi-object must be calculated in a image plane at the same time. To solve these problems, the algorithm of multi-object for rigid body control is developed.

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On a Multi-Agent System for Assisting Human Intention

  • Tawaki, Hajime;Tan, Joo Kooi;Kim, Hyoung-Seop;Ishikawa, Seiji
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1126-1129
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    • 2003
  • In this paper, we propose a multi-agent system for assisting those who need help in taking objects around him/her. One may imagine this kind of situation when a person is lying in bed and wishes to take an object on a distant table that cannot be reached only by stretching his/her hand. The proposed multi-agent system is composed of three main independent agents; a vision agent, a robot agent, and a pass agent. Once a human expresses his/her intention by pointing to a particular object using his/her hand and a finger, these agents cooperatively bring the object to him/her. Natural communication between a human and the multi-agent system is realized in this way. Performance of the proposed system is demonstrated in an experiment, in which a human intends to take one of the four objects on the floor and the three agents successfully cooperate to find out the object and to bring it to the human.

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Motion Analysis of Soft-Fingertip Manipulation Tasks

  • Kim, Byoung-Ho
    • International Journal of Control, Automation, and Systems
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    • 제2권2호
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    • pp.228-237
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    • 2004
  • This paper provides a motion analysis of soft-fingertip object manipulation tasks by presenting a dynamic model of multi-fingered object manipulations with soft fingertips. It is fundamentally observed that soft fingertips employed in a multi-fingered hand generate some deformation effects during the manipulation process and also that those effects are closely related to the behavior of the manipulated object. In order to analyze the motion of using soft fingertips, a dynamic manipulation control scheme is presented. Simulation and experimental results demonstrate the motion of soft-fingertips applied in object manipulating tasks and are further used to discuss the characteristics of soft-fingertip motions.

유사한 색상과 질감영역을 이용한 객체기반 영상검색 (Object-Based Image Search Using Color and Texture Homogeneous Regions)

  • 유헌우;장동식;서광규
    • 제어로봇시스템학회논문지
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    • 제8권6호
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    • pp.455-461
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    • 2002
  • Object-based image retrieval method is addressed. A new image segmentation algorithm and image comparing method between segmented objects are proposed. For image segmentation, color and texture features are extracted from each pixel in the image. These features we used as inputs into VQ (Vector Quantization) clustering method, which yields homogeneous objects in terns of color and texture. In this procedure, colors are quantized into a few dominant colors for simple representation and efficient retrieval. In retrieval case, two comparing schemes are proposed. Comparing between one query object and multi objects of a database image and comparing between multi query objects and multi objects of a database image are proposed. For fast retrieval, dominant object colors are key-indexed into database.

다중 로보트의 위치, 운동야기힘과 내부힘의 강건 독립 제어 (Robust independent control for position motion-inducing force, and internal force of multi-robot)

  • 김종수;박세승;박종국
    • 전자공학회논문지B
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    • 제33B권11호
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    • pp.11-21
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    • 1996
  • Robot manipulators constituing multi-robot system must exert the desired motion force on an object to preserve tghe fine motion of it. The forces exerte on an object by the end-effectors of multi-inducing force and the internal force. Here, motion-inducing force effects the motion of an object, but internal force as lies in the null space of an object coordinate can't effect it. The motion of an object can't track exactly the desired motion by the effect of an object, but internal force as lies in the null space of the effect of internal force component, therefore internal force component must be considered. In this paper, first, under assumption that we can estimate exactly the parameter of dynamics, we constitute paper, first, under assumption that we can estimate exactly the parameter of dynamics, we constitute the controller concerning internal force. And we obtain the internal force as projecting force sensor readings onto the space spanned by null basis set of jacobian matrix. Using the resolved acceleration control method and the fact that internal force lies in the null space of jacobian matrix, we construct the robust control law to preserve the robustness with respect to the uncertainty of mainpulator parameters.

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검출기 융합에 기반을 둔 확률가정밀도 (PHD) 필터를 적용한 다중 객체 추적 방법 (Fusion of Local and Global Detectors for PHD Filter-Based Multi-Object Tracking)

  • 윤주홍;황영배;최병호;윤국진
    • 제어로봇시스템학회논문지
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    • 제22권9호
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    • pp.773-777
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    • 2016
  • In this paper, a novel multi-object tracking method to track an unknown number of objects is proposed. To handle multiple object states and uncertain observations efficiently, a probability hypothesis density (PHD) filter is adopted and modified. The PHD filter is capable of reducing false positives, managing object appearances and disappearances, and estimating the multiple object trajectories in a unified framework. Although the PHD filter is robust in cluttered environments, it is vulnerable to false negatives. For this reason, we propose to exploit local observations in an RFS of the observation model. Each local observation is generated by using an online trained object detector. The main purpose of the local observation is to deal with false negatives in the PHD filtering procedure. The experimental results demonstrated that the proposed method robustly tracked multiple objects under practical situations.

다중로보트의 동작결정을 위한 시뮬레이터 구성 (Construction of simulator for cooperative multi-robot motions)

  • 김정찬;김진걸
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.332-336
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    • 1992
  • We describe about the graphic simulation system which supports the determination of efficient multi-robot motions during cooperation. For the construction of the simulation software for multi-robot motions, two problems are presented. First problem is that all the robot motions must be determinded using both the desired object motions and the holonomic constraints with the object. To find the robot motions combined with the various object motion path, the robot motions are derived from the desired object path instead of a master robot path. Therefore robot motions can be easily modifiable with the various object motions. This type of motion determination is different from that of the master-slaves method using the master robot motions. The other is that the developments of robot application softwares need a heavy cost when the participated robots or the tasks given to the robots are changed. Based on object-oriented programming paradigm, we present useful software objects describing robot application programming environment. The object-oriented programming paradigm increases the software reusability, reliability, and extensibility, and also provides the structual concepts to cope with the various demands of robot application programming.

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Resource Efficient AI Service Framework Associated with a Real-Time Object Detector

  • Jun-Hyuk Choi;Jeonghun Lee;Kwang-il Hwang
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.439-449
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    • 2023
  • This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the object detection model, which is the most representative for video applications. Since most object detection models are basically designed for a single channel video stream, the utilization of the additional resource for multi-channel video stream processing is inevitable. Therefore, we propose a resource efficient AI service framework, which can be associated with various AI service models. Our framework is designed based on the modular architecture, which consists of adaptive frame control (AFC) Manager, multiplexer (MUX), adaptive channel selector (ACS), and YOLO interface units. In order to run only a single YOLO process without regard to the number of channels, we propose a novel approach efficiently dealing with multi-channel input streams. Through the experiment, it is shown that the framework is capable of performing object detection service with minimum resource utilization even in the circumstance of multi-channel streams. In addition, each service can be guaranteed within a deadline.

다중세션 공동저작 환경에서의 충돌 없는 객체 공유를 위한 대표의장 방식의 플로어 제어 (The Chair-of-Chair-Guided Floor Control for Sharing Objects without Collision in a Multi-Session Collaborative Authoring Environment)

  • 신성운;오삼권
    • 정보처리학회논문지A
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    • 제12A권5호
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    • pp.433-440
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    • 2005
  • 많은 저작자들이 협력하여 작업을 수행할 수 있는 공동저작 시스템에서는 저작을 위해 객체들을 공유하는 일들이 참여 저작자들 간에 빈번히 발생한다. 따라서 객체 액세스를 위한 경쟁을 최소화하고 객체들의 배타적 사용을 보장해 주는 플로어 제어가 필요하다. 플로어(floor)란 공동저작 참여자에게 부여되는 한 공유자원에 대한 임시 사용 권한이다 단일세션 환경을 위한 플로어 제어 기법들은 여러 문헌에서 찾아 볼 수 있으나 다중세션 환경을 위한 기법들은 거의 찾아 볼 수가 없다. 다중 세션 환경에서는 한 객체가 여러 세션에서 동시에 공유될 수 있다. 본 논문은 다중 세션 환경에서의 객체 공유로 인한 문제들의 해결을 위해 대표의장(chair-of-chair) 방식의 플로어 제어 기법을 제안한다. 기존의 의장형 방식을 확장한 이 방식에는 세션 의장들 중에서 선출된 대표의장이 존재한다.

시뮬레이션에 기반한 휴머노이드 로봇 두 대의 안정적인 물체 운반 및 제어 연구 (Simulation Based for Intelligent Control System of Multi - Humanoid Robots for Stable Load Carrying)

  • 김한근;김형진;박원만;김윤혁;김동한;안진웅
    • 제어로봇시스템학회논문지
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    • 제16권2호
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    • pp.120-125
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    • 2010
  • This paper proposes an intelligent PID/Fuzzy control system for two humanoid robots to transport objects stably. When a robot transports an object while walking, a whole body system of a robot may not be stable due to vibration or external factors from a different departure speed error and a body movement of walking robots. Therefore, it is necessary to measure the horizontal and vertical locations and speeds of object, then calibrate the difference of departure speed between robots with PID/Fuzzy control. The results of simulation with two robots indicated that a proposed controller makes robots to transport an object stably.