• Title/Summary/Keyword: multi-mobile robot system

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Implementation of Multimedia Services in a Mobile Ad-hoc Network (이동 Ad-hoc 네트워크에서의 멀티미디어 서비스 구현)

  • Ro Kwang-Hyun;Kwon Hye-Yeon;Shin Jae-Wook;Park Ae-Soon
    • Journal of the Institute of Convergence Signal Processing
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    • v.7 no.2
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    • pp.45-52
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    • 2006
  • Mobile Ad-hoc Network(MANET) could be applied to various applications by virtue of its characteristics such as self-organizing and infrastructure-free network. This paper proposes a multimedia application service model for MANET, called multi-hop Relay(mRelay) system. It supports a multi-hop communication-based multimedia service interworked with Internet by using an unmanned moving robot with wireless multimedia communication function as a mRelay terminal. The modified AODV routing protocol was applied to the terminal and it was verified that composition and maintenance of mobile Ad-hoc network in mRelay system under the various indoor scenarios were successful and stable multi-hop multimedia services were possible. The mRelay system can be applicable to various application services of mobile Ad-hoc networks.

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Learning of Emergent Behaviors in Collective Virtual Robots using ANN and Genetic Algorithm

  • Cho, Kyung-Dal
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.3
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    • pp.327-336
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    • 2004
  • In distributed autonomous mobile robot system, each robot (predator or prey) must behave by itself according to its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot have both learning and evolution ability to adapt to dynamic environment. This paper proposes a pursuing system utilizing the artificial life concept where virtual robots emulate social behaviors of animals and insects and realize their group behaviors. Each robot contains sensors to perceive other robots in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used for behavior decision controller. The input of the neural network is decided by the existence of other robots and the distance to the other robots. The output determines the directions in which the robot moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation. Besides, in this paper, we could have observed the robots' emergent behaviors during simulation.

Agent-based Mobile Robotic Cell Using Object Oriented & Queuing Petri Net Methods in Distribution Manufacturing System

  • Yoo, Wang-Jin;Cho, Sung-Bin
    • Journal of Korean Society for Quality Management
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    • v.31 no.3
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    • pp.114-125
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    • 2003
  • In this paper, we deal with the problem of modeling of agent-based robot manufacturing cell. Its role is becoming increasingly important in automated manufacturing systems. For Object Oriented & Queueing Petri Nets (OO&QPNs), an extended formalism for the combined quantitative and qualitative analysis of different systems is used for structure and performance analysis of mobile robotic cell. In the case study, the OO&QPN model of a mobile robotic cell is represented and analyzed, considering multi-class parts, non-preemptive priority and alternative routing. Finally, the comparison of performance values between Shortest Process Time (SPT) rule and First Come First Serve (FCFS) rule is suggested. In general, SPT rule is most suitable for parts that have shorter processing time than others.

Self-localization of Mobile Robots by the Detection and Recognition of Landmarks (인공표식과 자연표식을 결합한 강인한 자기위치추정)

  • 권인소;장기정;김성호;이왕헌
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.306-311
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    • 2003
  • This paper presents a novel localization paradigm for mobile robots based on artificial and natural landmarks. A model-based object recognition method detects natural landmarks and conducts the global and topological localization. In addition, a metric localization method using artificial landmarks is fused to complement the deficiency of topology map and guide to action behavior. The recognition algorithm uses a modified local Zernike moments and a probabilistic voting method for the robust detection of objects in cluttered indoor environments. An artificial landmark is designed to have a three-dimensional multi-colored structure and the projection distortion of the structure encodes the distance and viewing direction of the robot. We demonstrate the feasibility of the proposed system through real world experiments using a mobile robot, KASIRI-III.

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Fuzzy-based Path Planning for Multiple Mobile Robots in Unknown Dynamic Environment

  • Zhao, Ran;Lee, Hong-Kyu
    • Journal of Electrical Engineering and Technology
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    • v.12 no.2
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    • pp.918-925
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    • 2017
  • This paper presents a path planning problem for multi-robot system in the environment with dynamic obstacles. In order to guide the robots move along a collision-free path efficiently and reach the goal position quickly, a navigation method based on fuzzy logic controllers has been developed by using proximity sensors. There are two kinds of fuzzy controllers developed in this work, one is used for obstacle avoidance and the other is used for orientation to the target. Both static and dynamic obstacles are included in the environment and the dynamic obstacles are defined with no type of restriction of direction and velocity. Here, the environment is unknown for all the robots and the robots should detect the surrounding information only by the sensors installed on their bodies. The simulation results show that the proposed method has a positive effectiveness for the path planning problem.

Dynamic Analysis of Floating Multi-Bodies Considering Crane Impact Loads (크레인 충격하중을 고려한 다중 부유체 운동해석)

  • Kim, Young-Bok;Kim, Yong-Yook
    • Journal of the Society of Naval Architects of Korea
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    • v.49 no.3
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    • pp.273-279
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    • 2012
  • The concept of the Mobile Harbor had been made recently as a kind of feeder vehicle to transfer a certain amount of container boxes (i.e. 250 TEU at a time) from main ocean container vessels over 5,000 TEU capacity to the container terminal on land. In a harbor a short distance apart from the land, the container loading/unloading operation has to be performed on the main deck of the Mobile Harbor using the container cranes in the state of side-by-side mooring with protection of fenders and robot arms in the gap. Even under the ocean condition of the sea state class 2 or 3, the operation has to be confirmed to be safely performed. In this situation, the floating bodies considering the multiple-body interaction effect also has to be examined whether they might behave safely or not. Especially, this study focuses on the dynamic behavior of the Mobile harbor when a container box is hanged on the crane and the impact load due to the slewing motion is imposed in a certain sea state. The motion response should be controlled within the motion level to assure the safe operation.

Micro soccer-playing robot based on the centralized approach (중앙집중 제어에 근거한 마이크로 축구경기 로봇)

  • ;;;Sugisaka, M.
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.621-624
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    • 1997
  • This paper presents the design procedure for soccer-playing rovots based on the centralized approach. Using a fast vision system, we obtain the configuration of each robot and then the host computer computes the desired motion and commands each robot directly via RF communication. The robot soccer game has a lot of problems such as obstacle avoidance, coordination between robots, dribbling the ball, and so on. To implement such motions, we think that the centralized approach seems to be more powerful than the distributed approach. We describe the technical tips for developing the robots in detail here and explain our strategy for getting the scores.

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Motion Response and Mooring Analysis of Mobile Harbors Moored in Side-by-side (병렬 계류된 모바일하버의 운동응답 및 계류 해석)

  • Kim, Young-Bok
    • Journal of Ocean Engineering and Technology
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    • v.23 no.6
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    • pp.53-60
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    • 2009
  • Recently, since there are several problems in space, the infra-structure and the facilities in the contiguity of the existing harbors due to the trend of enlarging the container capacity of the large container vessel, a special floating platform named as the Mobile Harbor has been proposed conceptually as an effective solution of those problems. Two kinds of hull shapes, a conventional mono-hull type and a catamaran type, are proposed as midway feeders to transfer containers to the harbor on land from a large container ship on near shore. In this study, the motion response and mooring analysis are carried out for comparing the global performance of two types of Mobile Harbor. Robot arm mooring facility specially is devised and newly tried to use for the safe fixation of a large container ship and the Mobile Harbor on near shore. It would be expected for this comparison study to give a guideline to design the efficient hull form for a midway loader.

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.

Hydrodynamic Interaction Analysis of Floating Multi-body System

  • Kim, Young-Bok;Kim, Moo-Hyun;Kim, Yong-Yook;Kim, Young-Hun
    • International Journal of Ocean System Engineering
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    • v.1 no.4
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    • pp.198-204
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    • 2011
  • Recently, several problems have occurred in the space, infra-structure, and facility of the contiguity of existing harbors due to the trend of enlarged container vessels. In this regard, the Mobile Harbor has been proposed conceptually in this study as an effective solution for these problems. The concept is that of a transfer loader that transfers containers from a large container ship to the harbor on land, and is a catamaran type floating barge. The catamaran-type vessel is well known for its advantage in maneuverability, resistance, and effectiveness for working on board. For the safe and effective operation of the two floating bodies (a container ship and the mobile harbor in the near sea detached from the quay), robot arms, novel crane systems, and pneumatic fenders are specially devised with an additional mooring facility or DP (dynamic positioning) system. In this study, this concept is to be verified through comparison and simulation studies under various environmental conditions. It is shown that the proposed concept is in general feasible but there are several areas for further investigation and improvement.