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T Ishida - One of the best experts on this subject based on the ideXlab platform.

  • sdr 4x ii a small humanoid as an entertainer in home environment
    ISRR, 2005
    Co-Authors: M. Fujita, Y. Kuroki, Kohtaro Sabe, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X II, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X II, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X II can spontaneously and passively interact with a human.

  • IROS - Autonomous Behavior Control architecture of entertainment humanoid robot SDR-4X
    Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003
    Co-Authors: M. Fujita, Y. Kuroki, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.

  • Autonomous Behavior Control architecture of entertainment humanoid robot SDR-4X
    Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003
    Co-Authors: M. Fujita, Y. Kuroki, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.

M. Fujita - One of the best experts on this subject based on the ideXlab platform.

  • sdr 4x ii a small humanoid as an entertainer in home environment
    ISRR, 2005
    Co-Authors: M. Fujita, Y. Kuroki, Kohtaro Sabe, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X II, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X II, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X II can spontaneously and passively interact with a human.

  • IROS - Autonomous Behavior Control architecture of entertainment humanoid robot SDR-4X
    Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003
    Co-Authors: M. Fujita, Y. Kuroki, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.

  • Autonomous Behavior Control architecture of entertainment humanoid robot SDR-4X
    Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003
    Co-Authors: M. Fujita, Y. Kuroki, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.

Y. Kuroki - One of the best experts on this subject based on the ideXlab platform.

  • sdr 4x ii a small humanoid as an entertainer in home environment
    ISRR, 2005
    Co-Authors: M. Fujita, Y. Kuroki, Kohtaro Sabe, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X II, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X II, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X II can spontaneously and passively interact with a human.

  • IROS - Autonomous Behavior Control architecture of entertainment humanoid robot SDR-4X
    Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003
    Co-Authors: M. Fujita, Y. Kuroki, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.

  • Autonomous Behavior Control architecture of entertainment humanoid robot SDR-4X
    Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003
    Co-Authors: M. Fujita, Y. Kuroki, T Ishida
    Abstract:

    In this paper we describe the autonomous Behavior Control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion Control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior Control, and motion Control parts. Regarding autonomous Behavior Control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior Control/selection mechanism with tree-structured situated Behavior modules. In the autonomous Behavior Control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the autonomous Behavior Control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.

Fei-jun Wang - One of the best experts on this subject based on the ideXlab platform.

  • Behavior Control of multiple robots exploring unknown environment
    2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
    Co-Authors: Gao-wei Yuan, Fei-jun Wang
    Abstract:

    To Control multi-robot exploring many targets in an unknown environment, the Behavior Control method should be set up. This paper presents six Behavior Control rules which contain searching rule along boundary, tracking target rule, avoiding repeatedly exploring rule, route choosing rule, maximizing explored area rule and obeying traffic regulation rule. The traffic regulations presented herein contain two solutions to avoid collision for robots' heading actions or cross actions, which can enhance the probability of robots' collision avoidance. The six Behavior Control rules are not pure independence, but with some correlations. When we establish the Control model of multiple robots, the Behavior correlation analysis is considered based on the linear weighted summation evaluation function, to enhance robots collaborative efficiency. The particle swarm optimal (PSO) algorithm is used to solve the Behavior Control model. The simulation result shows the Behavior Control method presented in the paper can effectively Control the multiple robots disposing the multiple targets and avoiding collision.

Sun Shao-rong - One of the best experts on this subject based on the ideXlab platform.

  • Game Analysis from the Perspective of Indefinite Return of Behavior Control
    Mathematics in Practice and Theory, 2007
    Co-Authors: Sun Shao-rong
    Abstract:

    Indefinite Behavior Control is more complicated than definite Behavior Control.And it is widely used in reality,however,the study on that is weak.This paper,from the perspective of indefinite return of Behavior Control,made a study of the Behavior observation difference between the game two sides,and developed the concepts of governor′s observation matrix,governor′s game strategy matrix,member′s estimation matrix of governor′s observation,member′s estimation matrix of governor′s game strategy with asymmetric information as well.In the end the paper made an analysis of the dynamic game process and the Behavior strategy selection between the governor and the member and put out the designing requirements for the game balance of indefinite return.All the findings above can be widely used in designing and the improvement of the management institution.This paper provided a new approach of quantity analysis for Behavior Control research.On basis of those above research,the paper made a diagnosis and case analysis of real estate investment Behavior Control institution.

  • Preliminary Study of Management System Designing
    Commercial Research, 2006
    Co-Authors: Sun Shao-rong
    Abstract:

    Managers in the process of management mainly depends on the effective management system to implement the managing measures,so whether the management system is good or not is very important to the success of the management practices.Since there are few researches currently on the theory and methods of management system design so that the existing weakness in the management system makes low effeciency of management.In this paper,the Behavior Control theory is applied in the design of management system with the intent of working out more effective management system.

  • The Research Approaches to Behavior Control Theory
    Commercial Research, 2006
    Co-Authors: Sun Shao-rong
    Abstract:

    Although there are many factors influencing human Behavior,it can be still conclueded the ways of forecasting,modifying and Controlling of it.The theory of Behavior Control is one about Behavior Control system.There are two approaches,psychological approach and management approach,between which the later is more important.Behavior Control is related to enterprise Behavior,government Behavior and education Behavior,etc.In the 21st century,human-centered Behavior Control theory will be furthur developed,characterized by subject intercoss,systemation and modelization.