• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.491-496
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• 1992

An analytic solution approach to the time-varying obstacle avoidance problem is pursued. We formulate the problem in robot joint space(JS), and introduce the view-time concept to deal with the time-varying obstacles. The view-time is a set of continuous times in which a time-varying obstacle is viewed and approximated by an equivalent stationary obstacle. The equivalent stationary obstacle is transformed into the JS obstacle. In JS, the path and trajectory avoiding the JS obstacle is planned.

• Korean Journal of Child Studies
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• v.21 no.1
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• pp.19-33
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• 2000

This study explored the relationship between peer support, strategies used to cope with interpersonal stressors, and social skills among 4th and 5th graders. Instruments were the Social Support Appraisal Scale, the Self-Report Coping Scale, and the Teenage Inventory of Social Skills. Results showed that children used different coping strategies by the level of peer support. Children with more peer support were more active in seeking social support and in solving peer conflict. Children with more problems in peer relationships used more avoidance strategies such as internalization and externalization. Children with a high level of social skills were more likely to use approach strategies in peer conflict while children with a low level of social skills were more likely to employ avoidance strategies. Internalization was the most important strategy in explaining inappropriate peer relationships. For girls, social skill was the most essential variable in their peer relationships.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.7
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• pp.36-48
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• 2010

This paper is concerned with stereo vision-based approach to detect obstacles and to generate the path of destination from the start. The hexapod robot in the experiment is cable of walking by legs and driving by wheels simultaneously. The hexapod robot operates under the driving mode normally, and it changes driving mode to walking mode to overcome obstacles using its legs. Disparity map, which is the correlation between two images taken by stereo camera, is employed for calculation of the distance between the robot and obstacles. When the obstacles information is extracted from the disparity map, the potential field algorithm is applied to create the obstacle-avoidance path. Simulator, based on OpenGL, is developed to generate the graphical path, and the experimental results are shown for the verification of the proposed algorithm.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.105-108
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• 1997

We developed a FLC(Fuzzy Logic Controller) for tracking control of MR(Mobile Robot) with obstacle avoidance. In this research, we made a heuristic approach to tracking control which is simple and efficient in almost every situation using FLC. In addition, smooth turn is accomplished and also obstacles are avoided. Also we used the XX(don't care) linguistic variable for inputs in FLC to make simple rule-table. With various simulations, the validity of our FLC was shown.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2895-2897
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• 2000

This paper proposes a new fuzzy-neural algorithm for navigation of a mobile robot with stationary and moving obstacles environment. The proposed algorithm has two-layered hierarchical structure such as a lower layer for collision avoidance and goal approach. and upper layer for adaptive combination of these two algorithms. Some computer simulation results for a mobile robot equipped with ultrasonic range sensors show that the suggested navigation algorithm is very effective in stationary and moving obstacles environment.

• Korean Journal of Child Studies
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• v.29 no.2
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• pp.139-153
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• 2008

The purpose of this study was to examine the relationship between the teachers' belief of efficacy and their personality dispositions (reflective thinking, emotional adaptability, and motivation orientation). A survey was conducted of 282 kindergarten teachers working in the area of Seoul and Gyeonggi-Do. Data were processed and analyzed by statistical methods of descriptive statistics, Pearson correlations, and hierarchical multiple regressions. Results showed that teachers' belief of efficacy was positively correlated with their personality dispositions of reflective thinking, emotional adaptability, and motivation orientation-approach. They were negatively correlated with motivational orientation-avoidance. Teachers' belief of efficacy was highly correlated with emotional adaptability in all variables, followed by reflective thinking and motivation orientations-avoidance.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.4
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• pp.293-298
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• 2006

In this paper, a sensor fusion based robot navigation method for the autonomous control of a miniature human interaction robot is presented. The method of navigation blends the optimality of the Fuzzy Neural Network(FNN) based control algorithm with the capabilities in expressing knowledge and learning of the networked Intelligent Robotic Space(IRS). States of robot and IR space, for examples, the distance between the mobile robot and obstacles and the velocity of mobile robot, are used as the inputs of fuzzy logic controller. The navigation strategy is based on the combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance. To identify the environments, a sensor fusion technique is introduced, where the sensory data of ultrasonic sensors and a vision sensor are fused into the identification process. Preliminary experiment and results are shown to demonstrate the merit of the introduced navigation control algorithm.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.107-112
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• 2022

The automotive industry is motivated to provide more and more amenities to its customers. The industry is taking advantage of artificial intelligence by increasing different sensors and gadgets in vehicles machoism is forward collision warning, at the same time road accidents are also increasing which is another concern to address. So there is an urgent need to provide an A.I based system to avoid such incidents which can be address by using artificial intelligence and global positioning system. Automotive/smart vehicles protection has become a major study of research for customers, government and also automotive industry engineers In this study a two layered novel hypothetical approach is proposed which include in-time vehicle/obstacle detection with auto warning mechanism for collision detection & avoidance and later in a case of an accident manifestation GPS & video camera based alerts system and interrupt generation to nearby ambulance or rescue-services units for in-time driver rescue.

• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.734-741
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• 2020

This article proposes a new pedestrian avoidance algorithm for social robots that coexist and communicate with humans and do not induce stress caused by invasion of psychological safety distance(Social Distance). To redefine the pedestrian model, pedestrians are clustered according to the pedestrian's gait characteristics(straightness, speed) and a social distance is defined for each pedestrian cluster. After modeling pedestrians(obstacles) with the social distances, integrated navigation algorithm is completed by applying the newly defined pedestrian model to commercial obstacle avoidance and path planning algorithms. To show the effectiveness of the proposed algorithm, two commercial obstacle avoidance & path planning algorithms(the Dynamic Window Approach (DWA) algorithm and the Timed Elastic Bands (TEB) algorithm) are used. Four cases were experimented in applying and non-applying the new pedestrian model, respectively. Simulation results show that the proposed algorithm can significantly reduce the stress index of pedestrians without loss of traveling time.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.947-966
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• 2010

This study was to examine whether musically talented adolescents' passion and achievement goals influence their deliberate practice. Of the musically talented adolescents surveyed from two arts high schools in Seoul, Korea, 597 completed and returned the questionnaires. Their average age was 17.4 years. Paired t-test on musically talented adolescents' passion(i.e., harmonious passion, and obsessive passion) and achievement goals(i.e., mastery goals, performance-approach goals, and performance-avoidance goals) indicated that harmonious passion were higher than obsessive passion. Mastery goals were higher than performance-approach goals. And performance-approach goals were higher than performance-avoidance goals. Independent t-tests were measured between high and low deliberate practice(DP) groups. High DP group showed higher harmonious and obsessive passion, and mastery and performance goals than low DP group. It was also found that two types of passion(i.e., harmonious and obsessive) positively influenced on deliberate practice via mastery goals.