• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.3
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• pp.33-45
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• 1997

In this paper, we propsoe a new method of th ecommunication system for cooperative behaviors and works in collective autonomous mobile robots. A communication function among the collective robots is essential to intelligent cooperative works. In genral, global communication is effective for small number of robots. However when the number of robot goes on increasing, this becomes difficult to be realized because of limited communication capacity and increasing amount of information to handle. And also the problems such as communciation interfeence and improper message transmission occur. So we propose local communication system based on infrared sensor to realize the cooperative behavior among robots as the solution of above problem. It is possible to prevent overflow of information and exchange of complex information by fusion sign board model which transmits the information to unspecified robots and message passing model which communicate a specific robot. And we formularize optimal communication range by analysis of information propagation mechanism from the proposed comunication system. At last we verify the effectiveness of the proposed communication system from example of cooperative works.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.591-597
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• 2001

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 B-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control school is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• Culinary science and hospitality research
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• v.22 no.8
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• pp.1-16
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• 2016

The purpose of this study is to verify the effects of team trust and cooperative behavior on the food-service employees' perceived service performance as well as the moderating effects of team competency and other department support in the relationship among the team trust, cooperative behavior, and service performance of food-service employees. We conducted a survey of 1,080 food-service employees working in 8 hotels and 4 food-service stores located in Seoul, Gyeonggi, Song-do, Gyeongju, and Busan, and 841 food-service employees were employed for statistical analysis except unreliable responses. As a result of a SEM (structural equation modeling) analysis to confirm hypotheses, it was found that team trust (leader trust and co-worker trust) had a positive effect on the cooperative behavior. In addition, the cooperative behavior had a positive influence on the food-service employees' perceived service performance. Also found was the moderating effect of other department support in the relationship between the cooperative behavior and food-service employees' perceived service performance. Based on the research findings, we discussed its academic and practical implications, and suggestions on the future research.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.3
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• pp.185-190
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• 2002

In distributed autonomous robotic systems (DARS), each robot must behave by itself according to its states ad environments, and if necessary, must cooperate with other robots in order to carry out their given tasks. Its most significant merit is that they determine their behavior independently, and cooperate with other robots in order to perform the given tasks. Especially, in DARS, it is essential for each robot to have evolution ability in order to increase the performance of system. In this paper, a schema co-evolutionary algorithm is proposed for the evolution of collective autonomous mobile robots. Each robot exchanges the information, chromosome used in this algorithm, through communication with other robots. Each robot diffuses its chromosome to two or more robots, receives other robot's chromosome and creates new species. Therefore if one robot receives another robot's chromosome, the robot creates new chromosome. We verify the effectiveness of the proposed algorithm by applying it to cooperative search problem.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.8
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• pp.725-730
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• 2012

In this paper, we propose the localization algorithm for the cooperative behavior of the swarm robots based on WSN (Wireless Sensor Network). The proposed method is as follows: First, we measure positions of the L-bot (Leader robot) and F-bots (Follower robots) by using the APIT (Approximate Point In Triangle) and the RSSI (Received Signal Strength Indication). Second, we measure relative positions of the F-bots against the pre-measured position of the L-bot by using trilateration. Then, to revise a position error caused by noise of the wireless signal, we use the particle filter. Finally, we show the effectiveness and feasibility of the proposed method though some simulations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.127-130
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• 1998

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. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.11
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• pp.2152-2156
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• 2011

In this paper, we propose the novel behavior control algorithm by using the efficient searching method based on the characteristic of the swarm robots in unknown space. The proposed method consists of identifying the position and moving state of a robot by the dynamic modelling of a wheel drive vehicle, and planing behavior control rules of the swarm robots based on the sensor range zone. The cooperative search for unknown space is carried out by the proposed behavior control. Finally, some experiments show the effectiveness and the feasibility of the proposed method.

• Korean Journal of Child Studies
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• v.29 no.4
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• pp.115-134
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• 2008

This study analyzed home environment, self-efficacy and parents' child rearing attitudes of disruptive children and of cooperative children in the classroom. Participants were 322 children(11-12 years of age) and 49 teachers. Instruments were four kinds of questionnaires. Data were analyzed by T-test and Fisher's exact test. Results of between group differences in parents' academic backgrounds showed more parents of cooperative children had completed high school. Disruptive children's mothers were more occupied outside the home; cooperative children's mothers engaged in more housework at home. Disruptive children's perceptions of their economic status were lower than cooperative children's perceptions. Results of comparison of general self-efficacy, scholastic self-efficacy, and home environment showed that disruptive children were statistically lower than cooperative children on all sub-variables.

• International Journal of Control, Automation, and Systems
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• v.6 no.3
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• pp.401-412
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• 2008

This paper discusses a design methodology of cooperative path planning for dynamical multi-agent systems with spatial and temporal constraints. The cooperative behavior of the multi-agent systems is specified in terms of the objective function in an optimization formulation. The path of achieving cooperative tasks is then generated by the optimization formulation constructed based on a differential flatness approach. Three scenarios of multi-agent tasking are proposed at the cooperative task planning framework. Given agent dynamics, both spatial and temporal constraints are considered in the path planning. The path planning algorithm first finds trajectory curves in a lower-dimensional space and then parameterizes the curves by a set of B-spline representations. The coefficients of the B-spline curves are further solved by a sequential quadratic programming solver to achieve the optimization objective and satisfy these constraints. Finally, several illustrative examples of cooperative path/task planning are presented.

• The Korean Journal of Coaching Psychology
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• v.6 no.1
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• pp.57-93
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• 2022

The purpose of this study is to verify the effect of the civil servant superior's coaching leadership on the innovation behavior and cooperative behavior of organizational members of public institutions. And it examines the mediating roles of subordinates' cognitive flexibility and belief of the colleague's potential growth in the relationship between coaching leadership and subordinates' innovative and cooperative behaviors. As a result of the study, first, it was confirmed that the coaching leadership of civil servant superior had a significant positive effect on the innovative and cooperative behaviors of subordinates. Second, it was verified that the superior's coaching leadership had a positive effect on the cognitive flexibility of subordinates and the belief of the colleague's potential growth. Third, it was confirmed that cognitive flexibility mediates between the superior's coaching leadership and innovative behavior. Fourth, it was not significant that the belief of the colleague's growth potential mediates between the superior's coaching leadership and cooperative behavior.