• Title/Summary/Keyword: behavior-based systems

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Design of a Robot-in-the-Loop Simulation Based on OPRoS (OPRoS 기반 로봇시스템의 Robot-in-the-Loop Simulation 구조)

  • Kim, Seong-Hoon;Park, Hong Seong
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.3
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    • pp.248-255
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    • 2013
  • This paper proposes the architecture of the RILS (Robot-in-the-Loop-Simulation) consisting of the robot, the virtual robot, and the avatar robot which is the type of virtual robots operating according to the robot status and behavior. And the synchronization algorithm for mobilization part of the avatar robot is suggested, which reduces the difference between behaviors of the robot and those of the avatar robot. This difference occurs due to the environmental and mechanical mismatches between the robot and avatar robot. In order to reduce this difference in robots behaviors, the synchronization algorithm controls the avatar robot based on the data observed from the robot's behavior. The proposed architecture and the synchronization algorithm are validated from some simulation results.

Research of Foresight Knowledge by CMAC based Q-learning in Inhomogeneous Multi-Agent System

  • Hoshino, Yukinobu;Sakakura, Akira;Kamei, Katsuari
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.280-283
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    • 2003
  • A purpose of our research is an acquisition of cooperative behaviors in inhomogeneous multi-agent system. In this research, we used the fire panic problem as an experiment environment. In Fire panic problem a fire exists in the environment, and follows in each steps of agent's behavior, and this fire spreads within the constant law. The purpose of the agent is to reach the goal established without touching the fire, which exists in the environment. The fire heat up by a few steps, which exists in the environment. The fire has unsureness to the agent. The agent has to avoid a fire, which is spreading in environment. The acquisition of the behavior to reach it to the goal is required. In this paper, we observe how agents escape from the fire cooperating with other agents. For this problem, we propose a unique CMAC based Q-learning system for inhomogeneous multi-agent system.

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Evolution of a Robotic Cane

  • Yoon, Joong-Sun;Kim, Jin-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.5
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    • pp.635-641
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    • 2004
  • A human-friendly interactive system that is based on the harmonious symbiotic coexistence of human and robots is explored. Based on interactive technology paradigm, a robotic cane is proposed for blind or visually impaired travelers to navigate safely and quickly through obstacles and other hazards faced by blind pedestrians. Robotic aids, such as robotic canes, require cooperation between human and robots. Various methods for implementing the appropriate cooperative recognition, planning, and acting, have been investigated. The issues discussed include the interaction of human and robot, design issues of an interactive robotic cane, and behavior arbitration methodologies for navigation planning.

Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware

  • Sim, Kwee-Bo;Lee, Dong-Wook;Zhang, Byoung-Tak
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.20-25
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    • 2002
  • This paper presents a genetic programming based evolutionary strategy for on-line adaptive learnable evolvable hardware. Genetic programming can be useful control method for evolvable hardware for its unique tree structured chromosome. However it is difficult to represent tree structured chromosome on hardware, and it is difficult to use crossover operator on hardware. Therefore, genetic programming is not so popular as genetic algorithms in evolvable hardware community in spite of its possible strength. We propose a chromosome representation methods and a hardware implementation method that can be helpful to this situation. Our method uses context switchable identical block structure to implement genetic tree on evolvable hardware. We composed an evolutionary strategy for evolvable hardware by combining proposed method with other's striking research results. Proposed method is applied to the autonomous mobile robots cooperation problem to verify its usefulness.

User Acceptance of the Mobile Internet Services (무선 인터넷 서비스의 사용자 수용)

  • Lee, Won-Jun;Lee, Chung-Seop;Kim, Tae-Ung;Paik, Tae-Young
    • Asia pacific journal of information systems
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    • v.14 no.2
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    • pp.61-86
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    • 2004
  • Despite their potential value, the mobile Internet services in the domestic market have not been widely accepted as industry experts have expected. To understand why, this study uses the TAM, Technology Acceptance Model, and explores the factors affecting the usage behavior of the end-users. Based on statistical analysis of survey data, we show that social influence and perceived ease of use affect perceived usefulness, and that self-efficacy and focus significantly influence perceived ease of use. Furthermore, perceived usefulness is shown to play a significant role in explaining actual usage of the mobile Internet services. However, contrary to the hypothesized relationships, service quality, focus, and innovativeness of users turn out to have little impact on the traditional endogenous TAM variables such as perceived usefulness, perceived ease of use, and actual usage behavior. Based on these results, we attempt to provide managerial implications for the domestic mobile Internet service providers and to suggest future research directions in this domain of research.

Cell Hawing Control with Fuzzified Cell Boundaries (셀 경계의 퍼지화에 의한 셀 매핑 제어)

  • 임영빈;윤중선
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.386-386
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    • 2000
  • Cell mapping is a powerful computational technique for analyzing the global behavior of nonlinear dynamic systems. It simplifies the task of analyzing a continuous phase space by partitioning it into a finite number of disjoint cells and approximating system trajectories as cell transitions. A cell map for the system is then constructed based on the allowable control actions. Next search algorithms are employed to identify the optimal or near-optimal sequence(s) of control actions required to drive the system from each cell to the target cell by an "unravelling algorithm." Errors resulting from the cell center-point approximation could be reduced and eliminated by fuzzifying the bonders of cells. The dynamic system control method based on the cell mapping has been demonstrated for a motor control problem.l problem.

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A Human Robot Interactive System "RoJi"

  • Shim, Inbo;Yoon, Joongsun;Yoh, Myeungsook
    • International Journal of Control, Automation, and Systems
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    • v.2 no.3
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    • pp.398-405
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    • 2004
  • A human-friendly interactive system that is based on the harmonious symbiotic coexistence of humans and robots is explored. Based on the interactive technology paradigm, a robotic cane is proposed for blind or visually impaired pedestrians to navigate safely and quickly through obstacles and other hazards. Robotic aids, such as robotic canes, require cooperation between humans and robots. Various methods for implementing the appropriate cooperative recognition, planning, and acting, have been investigated. The issues discussed include the interaction between humans and robots, design issues of an interactive robotic cane, and behavior arbitration methodologies for navigation planning.

Neuro-fuzzy model of concrete exposed to various regimes combined with De-icing salts

  • Ghazy, Ahmed;Bassuoni, Mohamed. T.
    • Computers and Concrete
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    • v.21 no.6
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    • pp.649-659
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    • 2018
  • Adaptive neuro-fuzzy inference systems (ANFIS) can be efficient in modelling non-linear, complex and ambiguous behavior of cement-based materials undergoing combined damage factors of different forms (physical and chemical). The current work investigates the use of ANFIS to model the behavior (time of failure (TF)) of a wide range of concrete mixtures made with different types of cement (ordinary and portland limestone cement (PLC)) without or with supplementary cementitious materials (SCMs: fly ash and nanosilica) under various exposure regimes with the most widely used chloride-based de-icing salts (individual and combined). The results show that predictions of the ANFIS model were rational and accurate, with marginal errors not exceeding 3%. In addition, sensitivity analyses of physical penetrability (magnitude of intruding chloride) of concrete, amount of aluminate and interground limestone in cement and content of portlandite in the binder showed that the predictive trends of the model had good agreement with experimental results. Thus, this model may be reliably used to project the deterioration of customized concrete mixtures exposed to such aggressive conditions.

Developing the online reviews based recommender models for multi-attributes using deep learning (딥러닝을 이용한 온라인 리뷰 기반 다속성별 추천 모형 개발)

  • Lee, Ryun-Kyoung;Chung, Namho;Hong, Taeho
    • The Journal of Information Systems
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    • v.28 no.1
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    • pp.97-114
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    • 2019
  • Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.

Human Driving Data Based Simulation Tool to Develop and Evaluate Automated Driving Systems' Lane Change Algorithm in Urban Congested Traffic (도심 정체 상황에서의 자율주행 차선 변경 알고리즘 개발 및 평가를 위한 실도로 데이터 기반 시뮬레이션 환경 개발)

  • Dabin Seo;Heungseok Chae;Kyongsu Yi
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.2
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    • pp.21-27
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    • 2023
  • This paper presents a simulation tool for developing and evaluating automated driving systems' lane change algorithm in urban congested traffic. The behavior of surrounding vehicles was modeled based on driver driving data measured in urban congested traffic. Surrounding vehicles are divided into aggressive vehicles and non-aggressive vehicles. The degree of aggressiveness is determined according to the lateral position to initiate interaction with the vehicle in the next lane. In addition, the desired velocity and desired time gap of each vehicle are all randomly assigned. The simulation was conducted by reflecting the cognitive limitations and control performance of the autonomous vehicle. It was possible to confirm the change in the lane change performance according to the variation of the lane change decision algorithm.