• Title/Summary/Keyword: 네트워크 기반 로봇

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A Comparison of Behavior Network and Rule-based Integration Method for Higher-level Behavior Implementation (고차원 행동구현을 위한 행동 네트워크와 규칙기반 결합방식의 비교)

  • Kim, Kyung-Joong;Cho, Sung-Bae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10a
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    • pp.551-554
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    • 2001
  • 분산 인공지능 분야에서는 여러 개의 기본 객체들이 상호작용을 통해 원하는 작업을 수행하는데, 그 한 예로 행동기반 이동로봇 제어 시스템을 들 수 있다. 이것은 여러 개의 기본 행동 모듈을 개발한 후, 적절한 조정방법을 사용하여 어려운 문제를 해결하며, 행동 네트워크는 행동 모듈들간의 협력과 억제를 모델링 하여 주어진 작업을 달성하도록 행동들의 실행순서를 조정하는 방법중의 하나이다. 정적으로 행동을 선택하는 규칙기반 결합 방법과는 달리 목표에 기반 하여 행동 네트워크는 다양한 행동들의 실행순서를 동적으로 선택한다는 장점이 있다. 본 논문에서는 진화 방식으로 설계된 기본 행동 모듈을 행동 네트워크와 규칙기반 방법으로 선택하는 실험을 수행하며, 그 결과 행동 네트워크가 변화하는 환경에서도 좋은 성능을 보인다는 사실을 확인할 수 있었다.

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RSSI based Intelligent Indoor Location Estimation Robot using Wireless Sensor Network technology (무선 센서네트워크 기술을 활용한 RSSI기반의 지능형 실내위치추정 로봇)

  • Seo, Won-Kyo;Jang, Seong-Gyun;Shin, Kwang-Sik;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.375-378
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    • 2007
  • This paper describes indoor location estimation intelligent robot. It is loaded indoor location estimation function using RSSI based indoor location estimation system and wireless sensor networks. Spartan III(Xilinx, U.S.A.) is used as a main control device in the mobile robot and the current direction data is collected in the indoor location estimation system. The data is transferred to the wireless sensor network node attached to the mobile robot through Zigbee/IEEE 802.15.4, a wireless communication. After receiving it, with the data of magnetic compass the node is aware of and senses the direction the robot head for and the robot moves to its destination. Indoor location estimation intelligent robot is can be moved efficiently and actively without obstacle on flat ground to the appointment position by user.

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RSSI based Intelligent Indoor Location Estimation Robot using Wireless Sensor Network technology (무선센서네트워크 기술을 활용한 RSSI기반의 지능형 실내위치추정 로봇)

  • Seo, Won-Kyo;Jang, Seong-Gyun;Shin, Kwang-Sik;Lee, Eun-Ah;Chung, Wan-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1195-1200
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    • 2007
  • This paper describes indoor location estimation intelligent robot. Indoor location estimation function using RSSI based indoor location estimation system and wireless sensor networks were implemented in the robot. Spartan III(Xilinx, U.S.A.) was used as a main control device in the mobile robot and the current direction data was collected in the indoor location estimation system. The data was transferred to the wireless sensor network node attached to the mobile robot through Zigbee/IEEE 802.15.4, a wireless communication. After receiving it, with the data of magnetic compass the node is aware of and senses the direction the robot head for and the robot moves to its destination. Indoor location estimation intelligent robot is can be moved efficiently and actively without obstacle on flat ground to the appointment position by user.

An Intention-Response Model based on Mirror Neuron and Theory of Mind using Modular Behavior Selection Networks (모듈형 행동선택네트워크를 이용한 거울뉴런과 마음이론 기반의 의도대응 모델)

  • Chae, Yu-Jung;Cho, Sung-Bae
    • Journal of KIISE
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    • v.42 no.3
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    • pp.320-327
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    • 2015
  • Although service robots in various fields are being commercialized, most of them have problems that depend on explicit commands by users and have difficulty to generate robust reactions of the robot in the unstable condition using insufficient sensor data. To solve these problems, we modeled mirror neuron and theory of mind systems, and applied them to a robot agent to show the usefulness. In order to implement quick and intuitive response of the mirror neuron, the proposed intention-response model utilized behavior selection networks considering external stimuli and a goal, and in order to perform reactions based on the long-term action plan of theory of mind system, we planned behaviors of the sub-goal unit using a hierarchical task network planning, and controled behavior selection network modules. Experiments with various scenarios revealed that appropriate reactions were generated according to external stimuli.

A Strategy for Robot Tele-operating Communication (로봇 원격제어 통신 방안)

  • Choi, You-Rak;Lee, Jae-Cheol;Kim, Jae-Hee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.07a
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    • pp.204-206
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    • 2015
  • 본 논문에서는 원자력발전소와 같은 극한환경에서 사용할 수 있는 로봇 원격제어를 위한 데이터 송수신용 통신 모듈 구현의 제약 조건을 기술하고 이를 해결할 수 있는 방안을 제시한다. 원격제어는 오퍼레이터가 원격지 로봇의 다양한 환경 정보를 인식하면서 로봇 제어 명령을 전송하는 특성을 갖는다. 오퍼레이터와 원격지 로봇 사이에 지속적인 데이터 통신에 의해 제어를 수행하므로, 통신 속도와 통신 프로토콜에 따른 현재의 통신 상태 보장 방안도 필요하다. 네트워크 기반 통신에서는 물리적 환경에 의한 영향을 포함하여 TCP/IP 프로토콜의 경우 핸드쉐이크와 혼잡회피 알고리즘 등에 의한 논리적 통신 속도의 지터가 발생하므로, 로봇 원격제어 시 이 문제를 충분히 검토해야한다. 로봇 원격제어를 위해서는 TCP/IP는 물론 UDP와 같은 통신 프로토콜과 시리얼 통신 기반의 다양한 프로토콜을 적용할 수 있는데, 송수신 데이터의 종류에 따라 적절한 프로토콜을 적용해야하며 통신 라인의 연결 상태도 확인할 수 있어야 한다.

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A Design of Network Based Home Robot System in Wireless Home Network Environment (무선 홈네트워크 환경에서의 네트워크 기반 홈로봇 시스템의 설계)

  • Jeong Ho-Won;Bae Sung-Ho;Oh Sei-Woong;Nam Kyu-Tae
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.85-91
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    • 2005
  • Recently, home network system is providing more various services as home robot applied. A home robot not only basically controls home device but also services prevention of crimes, prevention of disasters through home monitoring and various entertainments while it navigates the autonomously based home network system. However, for the existing home robot to it is not easy to install all functions because the size of robot device becomes larger and the management of contents and applications executed becomes uneasy and has difficulties in adding new functions. Moreover many improvements are necessary for functioning of robot's location awareness. In this paper, we propose a more improved home robot system which uses resources of the robot efficiently as it divides the complicated operation of the robot among external digital device and adds new functions easily and recognizes the location of the robot by RFID.

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A Design and Implementation of A Robot Client Middleware for Network-based Intelligent Robot based on Service-Oriented (지능형 네트워크 로봇을 위한 서비스 지향적인 로봇 클라이언트 미들웨어 설계와 구현)

  • Kwak, Dong-Gyu;Choi, Jae-Young
    • The KIPS Transactions:PartA
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    • v.19A no.1
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    • pp.1-8
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    • 2012
  • Network-based intelligent robot is connected with network system, provides interactions with humans, and carries out its own roles on ubiquitous computing environments. URC (Ubiquitous Robot Companion) robot has been proposed to develop network-based robot by applying distributed computing techniques. On URC robot, it is possible to save the computing power of robot client by environments, has been proposed to develop robot software using service-oriented architecture on server-client computing environments. The SOMAR client robot consists of two layers - device service layer and robot service layer. The device service controls physical devices, and the robot service abstracts robot's services, which are newly defined and generated by combining many device services. RSEL (Robot Service Executing Language) is defined in this paper to represent relations and connections between device services and robot services. A RESL document, including robot services by combining several device services, is translated to a programming language for robot client system using RSEL translator, then the translated source program is compiled and uploaded to robot client system with RPC (Remote Procedure Call) command. A SOMAR client system is easy to be applied to embedded systems of host/target architecture. Moreover it is possible to produce a light-weight URC client robot by reducing workload of RSEL processing engine.

Cooperative Strategies and Swarm Behavior in Distributed Autonomous Robotic Systems based on Artificial Immune System (인공면역 시스템 기반 자율분산로봇 시스템의 협조 전략과 군행동)

  • 심귀보
    • Journal of the Korean Institute of Intelligent Systems
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    • v.9 no.6
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    • pp.627-633
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    • 1999
  • In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a ?3-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robot using communication (immune network). Finally much stimulated strateby is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of optimal swarm strategy. Adaptation ability of robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

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