• 제목/요약/키워드: service robots

검색결과 289건 처리시간 0.032초

서비스 로봇용 결함 허용 미들웨어 (Fault-Tolerant Middleware for Service Robots)

  • 백범현;박홍성
    • 제어로봇시스템학회논문지
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    • 제14권4호
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    • pp.399-405
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    • 2008
  • Recently, robot technology is actively going on progress to the field of various services such as home care, medical care, entertainment, and etc. Because these service robots are in use nearby person, they need to be operated safely even though hardware and software faults occur. This paper proposes a Fault-Tolerant middleware for a robot system, which has following two characteristics: supporting of heterogeneous network interface and processing of software components and network faults. The Fault-Tolerant middleware consists of a Service Layer(SL), a Network Adaptation Layer(NAL), a Network Interface Layer(NIL), a Operating System ion Layer(OSAL), and a Fault-Tolerant Manager(FTM). Especially, the Fault-Tolerant Manager consists of 4 components: Monitor, Fault Detector, Fault Notifier, and Fault Recover to detect and recover the faults effectively. This paper implements and tests the proposed middleware. Some experiment results show that the proposed Fault-Tolerant middleware is working well.

지능형 서비스 로봇을 위한 선형 동적 시스템 기반의 감정 기반 행동 결정 모델 (Emotional Behavior Decision Model Based on Linear Dynamic System for Intelligent Service Robots)

  • 안호석;최진영
    • 제어로봇시스템학회논문지
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    • 제13권8호
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    • pp.760-768
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    • 2007
  • This paper introduces an emotional behavior decision model based on linear system for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of intelligent service robots and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear dynamic system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented a cyber robot and an emotional head robot using 3D character for verifying the performance of the proposed emotional behavior decision model.

네트워크 기반 로봇의 서비스 실행 컨텍스트 동적 관리 (Dynamic Management of Service Execution Contexts in Network-based Robots)

  • 박정민;이중재;유범재
    • 정보처리학회논문지A
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    • 제16A권6호
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    • pp.489-500
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    • 2009
  • 네트워크 기반 로봇에서 로봇은 한정된 자원을 가지며 서비스에 따라 필요로 하는 입출력 장치와 컴퓨팅 능력 및 응답 실시간성이 다르다. 본 논문에서는 네트워크 기반 로봇에서 로봇이 다양한 서비스를 효율적으로 수행하고 서비스의 실시간성을 제공하도록 하기 위하여 서비스 실 행 컨텍스트를 동적으로 관리하는 방법을 제안한다. 실제 네트워크 기반 로봇에 적용하여 실험한 결과, 제안한 방법은 서비스 실행의 실시간 응답성을 만족하며 로봇의 자원 사용률을 향상시켰다. 제안한 방법은 서비스 실행 컨텍스트에 대한 변경이 용이하므로 센서 및 새로운 서비스 에 대한 확장성과 융통성을 제공하며 로봇 서비스의 재사용성을 증대시킨다.

Obstacle Modeling for Environment Recognition of Mobile Robots Using Growing Neural Gas Network

  • Kim, Min-Young;Hyungsuck Cho;Kim, Jae-Hoon
    • International Journal of Control, Automation, and Systems
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    • 제1권1호
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    • pp.134-141
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    • 2003
  • A major research issue associated with service robots is the creation of an environment recognition system for mobile robot navigation that is robust and efficient on various environment situations. In recent years, intelligent autonomous mobile robots have received much attention as the types of service robots for serving people and industrial robots for replacing human. To help people, robots must be able to sense and recognize three dimensional space where they live or work. In this paper, we propose a three dimensional environmental modeling method based on an edge enhancement technique using a planar fitting method and a neural network technique called "Growing Neural Gas Network." Input data pre-processing provides probabilistic density to the input data of the neural network, and the neural network generates a graphical structure that reflects the topology of the input space. Using these methods, robot's surroundings are autonomously clustered into isolated objects and modeled as polygon patches with the user-selected resolution. Through a series of simulations and experiments, the proposed method is tested to recognize the environments surrounding the robot. From the experimental results, the usefulness and robustness of the proposed method are investigated and discussed in detail.in detail.

로보사피엔스 : 현실로 다가온 인간과 로봇이 공존하는 사회 (RoboSapience : Impending Community of Human and Robots)

  • 오상록
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.296-301
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    • 2003
  • Various robots are emerging nowadays to human life from industrial factories. Especially, technologies from multiple disciplines such as information technology (IT), bio technology (BT), and etc. are merged to make novel types of robots. Robots are employed to every place of works such as entertainment, education, service. rescue, medical support, dangerous job, production, etc. The robot in science fictions are now realized so that they become a new species taking human job and more than human.

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서비스 로봇용 가변강성 형 안전관절의 설계 (Design of a Variable-Stiffness Type Safety Joint for Service Robots)

  • 정재진;장승환
    • 한국정밀공학회지
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    • 제26권5호
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    • pp.128-134
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    • 2009
  • This paper aims to design a variable-stiffness type economical safety joint for service robots. The safety joint was designed to have a passive shock absorbing mechanism for protecting human from a catastrophic collision under service condition of robots. A simple mechanism composed of two action disks for switching the load transfer, a spring and a screw for pre-load was proposed. In order to evaluate the performance of the safety joint a testing platform which can carry out the static and impact tests was also designed and fabricated. From the test results, the designed safety joint was proved to have a variable load-carrying capacity and about 42% impact absorption capacity with simple manipulation of the control screw.

언어, 교시 및 학습능력 관점에서 본 퍼스널 로봇의 평가 기준 설정에 대한 연구 (A Study on the Evaluation Methods for s Personal Robot from the Viewpoints of Language, Teaching, and Learning Ability)

  • 김용준;이건영;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 D
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    • pp.2465-2467
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    • 2004
  • In this paper we present the guideline to evaluate the easiness of using personal robots and their learning abilities based on the analysis of their built-in commands, user interfaces, and intelligences. Recently, we are breathing with robots that can be able to do lots of roles. cleaning, security, pets and education in real life. They can be classified as home robots, guide robots, service robots, robot pets, and so on. There are, however, no standards to evaluate their ability, so it is not easy to select an appropriate robot when a user wants to buy it. Thus, we present, as a guideline that can be a standard for the evaluation of the personal robots, the standards by means of analyzing existing personal robots and results of the recent research works. We will, also, describe how to apply the evaluation method th the personal robot.

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Three Dimensional Environment Modeling for Mobile Robots Using Growing Neural Gas Network

  • Kim, Min-Young;Cho, Hyung-Suck;Kim, Jae-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.30.2-30
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    • 2001
  • As the era of the human friendly robot looms, the intelligent autonomous mobile robots have obtained tremendous interests in recent years. The robots may be service robots for serving human or industrial robots for replacing human. For the coexistance with human, the robots must be able to feel and recognize three dimensional space that human live. In this paper, we propose three dimensional environmental modeling method based on a neural network technique called Growing Neural Gas Network. The purpose of this neural network is to generate a graphical structure which reflects the topology of the input space. Through this method, the robots´ surroundings are autonomously segmented ...

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Public Perceptions of the Appropriateness of Robots in Museums and Galleries

  • Webster, Craig;Ivanov, Stanislav
    • Journal of Smart Tourism
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    • 제2권1호
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    • pp.33-39
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    • 2022
  • This research explores the public's perceptions of the appropriateness of the use of robots in museums and galleries. Using data from an international survey of 1589 participants, the data show that the perceived appropriateness of robot implementation in museums and galleries is driven largely by perceptions of the usefulness and emotional skills of robotic technologies, and their perceived advantages compared to human employees. Additionally, the findings suggest that the general attitudes towards service robots in tourism shape the attitudes towards robots in museums and galleries in particular. Furthermore, the findings reveal that the demographic characteristics of visitors are not related to their perceptions of robots in museums and galleries.

Essential technical and intellectual abilities for autonomous mobile service medical robots

  • Rogatkin, Dmitry A.;Velikanov, Evgeniy V.
    • Advances in robotics research
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    • 제2권1호
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    • pp.59-68
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    • 2018
  • Autonomous mobile service medical robots (AMSMRs) are one of the promising developments in contemporary medical robotics. In this study, we consider the essential technical and intellectual abilities needed by AMSMRs. Based on expert analysis of the behavior exhibited by AMSMRs in clinics under basic scenarios, these robots can be classified as intellectual dynamic systems acting according to a situation in a multi-object and multi-agent environment. An AMSMR should identify different objects that define the presented territory (rooms and paths), different objects between and inside rooms (doors, tables, and beds, among others), and other robots. They should also identify the means for interacting with these objects, people and their speech, different information for communication, and small objects for transportation. These are included in the minimum set required to form the internal world model in an AMSMR. Recognizing door handles and opening doors are some of the most difficult problems for contemporary AMSMRs. The ability to recognize the meaning of human speech and actions and to assist them effectively are other problems that need solutions. These unresolved issues indicate that AMSMRs will need to pass through some learning and training programs before starting real work in hospitals.