• 디지털융복합연구
• /
• 제18권8호
• /
• pp.103-109
• /
• 2020

이 연구는 설득에 있어서 사람들이 시간을 어떻게 모니터링 하는 지 그리고 목표 지향과 설득적 메시지 유형이 어떻게 시간 모니터링과 설득 사이의 관계에서 조절 역할을 하는 지를 살펴보는 데 목적이 있다. 실험을 통해 시간 지평 관점(제한 vs. 확장)과 목표 지향(접근 vs. 회피 vs. 통제), 그리고 메시지 유형(정서적 vs. 지식 관련)의 상호작용 효과가 검증되었다. 구체적으로, 제한된 THP를 갖는 참가자들은 회피 목표를 지향할 때 지식 관련 메시지에 더 설득된 반면, 접근 목표를 지향할 때는 정서적 메시지에 더 설득되는 것으로 나타났다. 반면 확장된 THP를 가진 참가자들은 목표 추구 유형과 상관없이 모두 지식 관련 메시지에 더 설득되었다. 이 같은 결과는 광고 등으로 대표되는 설득적 메시지의 효과에 있어 피험자의 연령과 그들이 갖고 있는 시간 지평 관점에 대한 고려 뿐 아니라 캠페인 등을 통해 유발할 수 있는 목표의 유형, 그리고 메시지의 구성이 상호유기적으로 영향을 미친다는 것을 보여준다.

• 한국정보통신학회논문지
• /
• 제11권1호
• /
• pp.181-190
• /
• 2007

본 논문에서는 지능형 선박의 실시간 장애물회피를 위한 충돌회피시스템을 논한다. 다른 무인자율항체들의 충돌회피시스템과는 달리 지능형 선박의 충돌회피시스템은 목적지까지의 합리적이고 안전한 경로를 통한 충돌회피뿐만 아니라 해양을 항해하는 모든 선박이 준수해야하는 국제해상충돌예방규칙(COLRECs, International Regulations for Preventing Collisions at Sea)을 반영해야한다. 목적지까지의 합리적이고 안전한 경로를 통한 충돌회피라는 일반적인 충돌회피시스템의 목표를 달성하기 위해 BK-곱에 기반한 휴리스틱 탐색기법을 채용하며, 또 다른 목표인 COLREGs의 준수를 위해 충돌회피를 위한 규칙을 적용하는 지식기반시스템을 채용한다. 제안된 충돌회피시스템의 성능검증을 위해 COLREGs에 명시된 여러 가지 조우상황을 설정한 시나리오를 이용하여 최적성과 안정성 관점에서 시뮬레이션을 수행하고 그 결과를 $A^{\ast}$ 탐색기법과 비교한다. 시뮬레이션을 통해 제안된 충돌회피시스템이 지능형 선박의 실용적이고 효율적인 실시간 충돌회피시스템으로 적합함을 확인하였다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2011년도 제42회 하계학술대회
• /
• pp.1916-1917
• /
• 2011

A development of a new moving obstacle avoidance algorithm using a delay-time Compensation for a network-based autonomous mobile robot is proposed in this paper. The moving obstacle avoidance algorithm is based on a Kalman filter through moving obstacle estimation and a Bezier curve for path generation. And, the network-based mobile robot, that is a unified system composed of distributed environmental sensors, mobile actuators, and controller, is compensated by a network delay compensation algorithm for degradation performance by network delay. The network delay compensation method by a sensor fusion using the Kalman filter is proposed for the localization of the robot to compensate both the delay of readings of an odometry and the delay of reading of environmental sensors. Through some simulation tests, the performance enhancement of the proposed algorithm in the viewpoint of efficient path generation and accurate goal point is shown here.

• 한국정밀공학회지
• /
• 제16권12호
• /
• pp.182-189
• /
• 1999

In this paper, we present an ultrasonic sensor based path planning method using fuzzy logic for obstacle avoidance of an intelligent vehicle in unknown environments. Generally, Robot navigation in unknown terrains is a very complex task difficult to control because of the great amount of imprecise and ambiguous sensor information that has to be considered. In this case, fuzzy logic can satisfactorily deal with such information in quite efficient manner. In this study, we propose two fuzzy logic controller which is composed of steering controller and velocity controller respectively. Our object is to develop a fuzzy controller that can enable a mobile robot to navigate from a start point to a goal point without collisions, in the least possible travel time. The ability and effectiveness for the proposed algorithm will be demonstrated by simulation and expeiment.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2009년도 제40회 하계학술대회
• /
• pp.1638_1639
• /
• 2009

This paper propose a mobile robot for the obstacle avoidance control. The proposed method based on self-organization method is a way to escape of obstacle. Optimal path planning and obstacle avoidance, depending on its final goal will arrive at exactly the mobile robot. Simulation results show the validity of the proposed method.

• 대한산업공학회지
• /
• 제28권1호
• /
• pp.25-35
• /
• 2002

This paper presents a heuristic algorithm that a mobile robot avoids obstacles using optical flow. Using optical flow, the mobile robot can easily avoid static obstacles without a prior position information as well as moving obstacles with unknown trajectories. The mobile robot in this paper is able to recognize the locations or routes of obstacles, which can be detected by obtaining 2-dimensional optical flow information from a CCD camera. It predicts the possibilities of crash with obstacles based on the comparison between planned routes and the obstacle routes. Then it modifies its driving route if necessary. Driving acceleration and angular velocity of mobile robot are applied as controlling variables of avoidance. The corresponding simulation test is performed to verify the effectiveness of these factors. The results of simulation show that the mobile robot can reach the goal with avoiding obstacles which have variable routes and speed.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2007년도 춘계학술대회A
• /
• pp.1161-1166
• /
• 2007

This paper proposes the Elastic Force application on the obstacle avoidance of the Silvermate Robot. The method deals with the problem associated with the Silvermate robot driving to a goal configuration as avoiding obstacles. The initial trajectory of a robot is determined by a motion planner, and the trajectory modification is accomplished by adjusting the control points. The control points are obtained based on the elastic force approach. Consequently the trajectory of a robot is incrementally modified to maintain a smooth and adaptive trajectory in an environment with obstacles. The suggested algorithm drivers the robot to obstacle avoid in real-time. Finally, the simulation studies are carried out to illustrate the effectiveness of the proposed approach

• 대한전기학회논문지:시스템및제어부문D
• /
• 제54권5호
• /
• pp.291-299
• /
• 2005

An obstacle avoidance algorithm for a network-based autonomous mobile robot is proposed in this paper. The obstacle avoidance algorithm is based on the VFH(Vector Field Histogram) algorithm and two delay compensation methods with the VFH algorithm are proposed for a network-based robot with distributed environmental sensors, mobile actuators, and the VFH controller. Firstly, the environmental sensor information is compensated by prospection with acquired environmental sensor information, measured network delays, and the kinematic model of the robot. The compensated environmental sensor information is used for building polar histogram with the VFH algorithm. Secondly, a sensor fusion algorithm for localization of the robot is proposed to compensate the delay of odometry sensor information and the delay of environmental sensor information. Through some simulation tests, the performance enhancement of the proposed algorithm in the viewpoint of efficient path generation and accurate goal positioning is shown here.

• 한국공작기계학회:학술대회논문집
• /
• 한국공작기계학회 1998년도 춘계학술대회 논문집
• /
• pp.88-93
• /
• 1998

This paper presents a new solution approach to moving obstacle avoidance problem for a mobile robot. A new concept avoidability measure(AVM) is defined to describe the state of a pair of a robot and an obstacle regarding the collision between them. As an AVM, virtual distance function(VDF) is derived as a function of the distance from the obstacle to the robot and outward speed of the obstacle relative to the robot. By keeping the virtual distance above some positive limit value, the robot avoids the obstacle. In terns of the VDF, an artificial potential field is constructed to repel the robot away from the obstacle and to attract the robot toward a goal location. At every sampling time, the artificial potential field is updated and the force driving the robot is derived form the gradient of the artificial potential field. The suggested algorithm drives the robot to avoid moving obstacles in real time. Since the algorithm considers the mobility of the obstacle as well as the distance, it is effective for moving obstacle avoidance. Some simulation studies show the effectiveness of the proposed approach.

• 한국공작기계학회논문집
• /
• 제16권5호
• /
• pp.33-40
• /
• 2007

This paper proposes the Elastic force application on the obstacle avoidance of Silvermate robots. The method deals with the problem associated with a Silvermate robot driving to a goal configuration as avoiding obstacles. The initial trajectory of a robot is determined by a motion planner, and the trajectory modification is accomplished by adjusting the control points. The control points are obtained based on the elastic force approach. Consequently the trajectory of a robot is incrementally modified to maintain a smooth and adaptive trajectory in an environment with obstacles. The suggested algorithm drives the robot to avoid obstacle in real-time. Finally, The simulation studies are carried out to illustrate the effectiveness of the proposed approach.