• 전기학회논문지P
• /
• 제55권2호
• /
• pp.103-109
• /
• 2006

In this paper, the detection scheme of the spatial coordinates based on stereo camera for a intelligent path planning of an automatic mobile robot is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity mad obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene. and an image plane, depth information can be detected. Finally, based-on the analysis of these calculated coordinates, a mobile robot system is derived as a intelligent path planning and a estimation.

• 대한임베디드공학회논문지
• /
• 제6권5호
• /
• pp.327-333
• /
• 2011

Intelligent robots are widely needed in various areas of industry from extremely dangerous environments to service tasks. For autonomous mobile robots, it is significant to move itself safely to a destination point, recognizing its surroundings. Advances in sensor technology and its applications are achieved in order to develop an intelligent robot. In this paper, a mobile robot with a path-finding algorithm is presented. The path-finding algorithm is the one that does not only find a path to designated destination and also recognizes obstacles on the way, calculating its distance. 10 ultrasonic sensor are mounted on the front and rear of the mobile robot to figure out its position. Specular reflection and wide viewing angle, which are inherent characteristics of ultrasonic waves, cause errors in measuring distance.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
• /
• pp.209-212
• /
• 2003

The following paper deals with a control problem of a mobile robot in home network environment. The home network causes the mobile robot to communicate with sensors to get the sensor measurements and to be adapted to the environment changes. We adopt the reinforcement learning scheme for the solution to the problem, and show some simulation results.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
• /
• pp.274-277
• /
• 2000

In this paper we propose new algorithms of path planning and obstacle avoidance for an autonomous mobile robot with vision system. Distance variation is included in path planning to approach the target point and avoid obstacles well. The fuzzy rules are also applied to both trajectory planning and obstacle avoidance to improve the autonomy of mobile robot. It is shown by computer simulation that the proposed algorithm is working well.

• 한국생산제조학회지
• /
• 제24권2호
• /
• pp.141-147
• /
• 2015

In this study, a position control algorithm for an omni-directional mobile robot based on Mecanum wheels was introduced and experimentally evaluated. Multiple ultrasonic sensors were installed around the mobile robot to obtain position feedback. Using the distance of the robot from the wall, the position and orientation of the mobile robot were calculated. In accordance with the omni-directional velocity generation mechanism, the velocity kinematics between the Mecanum wheel and the mobile platform were determined. Based on this formulation, a simple and intuitive position control algorithm was suggested. To evaluate the control algorithm, a test bed composed of artificial walls was designed and implemented. While conventional control algorithms based on normal wheels require additional path planning for two-dimensional planar motion, the omni-directional mobile robot using distance sensors was able to directly follow target positions with the simple proposed position feedback algorithm.

• 한국지능시스템학회논문지
• /
• 제20권4호
• /
• pp.586-591
• /
• 2010

본 논문에서는 SURF와 Particle filter를 이용한 이동로봇의 위치 추정 방법을 제안한다. 제안한 방법은 다음과 같다: 먼저, 이동 로봇의 위치를 찾기 위해 SURF 알고리증을 이용하여 카메라로부터 획득한 영상을 분석한다. 두 번째, 획득한 영상으로부터 이동로봇의 상대적인 위치를 알기 위해 이동로봇에 설치되어 있는 초음파 센서를 이용하여 주변 환경과의 거리를 측정한다. 그리고 측정된 센서 값들을 기반으로 하여 이동 로봇의 위치를 추정하는데 있어서 오차를 줄이고자 위치 추정에 많이 사용되는 Particle filter를 이용하여 이동 로봇의 위치를 추정한다. 마지막으로, 본 논문에서 제안한 방법은 실험을 통해 그 응용 가능성을 증명한다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.152-152
• /
• 2000

In this paper, we propose a new approach to intelligent motion and autonomous maneuvering of mobile robots using hybrid system. In high Level, the discrete states are defined by using the sensor-based search windows and the reference motions of a mobile robot as a low vevel are specified in the abstracted motions, The mobile robots can perform both the motion planning and autonomous maneuvering with obstacle avoidance in indoor navigation problem. Simulation and experimental results show that hybrid system approach is an effective method for the autonomous maneuvering in indoor environments.

• 한국지능시스템학회논문지
• /
• 제11권6호
• /
• pp.470-476
• /
• 2001

본 논문에서는 미지의 환경에서 동작하는 비전 시스템을 갖는 이동로봇의 경로 계획과 장애물 회피를 위한 새로운 알고리즘을 제안하고자 한다. 목표점에 도달하기 위한 경로계획과 장애물회피를 위해 거리 변화율 기법을 적용하였으며, 소벨연산자를 이용하여 장애물의 윤곽을 추출하였다. 이동로봇의 자율성을 향상시키기 위해 경로 설정과 장애물 회피에 퍼지 규직을 사용하였다. 본 논문에서 제안된 알고리즘을 컴퓨터시뮬레이션을 통해 기존의 벡터장 기법을 이용한것보다 우수하다는것을 알수 있었다. 또한 실효성을 실제로 알아보기 위해 소형 이동로봇을 제작하였으며, 제안된 알고리즘을 탑재하여 실험한 결과 복잡한 주변환경하에서도 좋은 성능을 발휘함을 확인할수 있었다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제11권4호
• /
• pp.280-285
• /
• 2011

Recently, with the development of service robots and the concept of ubiquitous, the position estimation of mobile objects has received great interest. Some of the localization schemes are introduced, which provide the relative location of the moving objects subjected to accumulated errors. To implement a real time localization system, a new absolute position estimation method for a mobile robot in indoor environment is proposed. Design and implementation of the localization system comes from the usage of active beacon systems (based upon RFID technology). The active beacon system is composed of an RFID receiver and an ultra-sonic transmitter. The RFID receiver gets the synchronization signal from the mobile robot and the ultra-sonic transmitter sends out the traveling signal to be used for measuring the distance. Position of a mobile robot in a three dimensional space can be calculated basically from the distance information from three beacons and the absolute position information of the beacons themselves. In some case, the mobile robot can acquire the ultrasonic signals from only one or two beacons, due to the obstacles located along the moving path. In this paper, a position estimation scheme using fewer than three sensors is developed. Also, the extended Kalman filter algorithm is applied for the improvement of position estimation accuracy of the mobile robot.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2007년도 추계종합학술대회
• /
• pp.449-452
• /
• 2007

RSSI기반의 실내위치인식 시스템과 무선센서네트워크를 이용한 자율 이동 로봇의 기능 중에서 선행적으로 요구되는 지능형 실내위치추정 로봇을 설계, 구현하였다. 지능형 실내위치추정 로봇은 주제어장치로서 Spartan III를 사용하였으며, 현재의 위치 데이터는 계속적으로 Zigbee /IEEE802.15.4 무선통신을 사용하여 블라인드노드로 전송된다. 그리고 로봇에 탑재된 베이스스테이션노드는 블라인드 노드를 통해 수신된 위치 데이터를 수집하여 로봇을 제어하였고 서버로 전송하였다. 이동 중인 로봇은 Magnetic Compass를 사용하여 목적지의 방향을 인식하여 최종 목적지로 이동하였다. 또한 프로그램 내에 장애물회피 알고리즘을 이용하여 효율적이고 능동적으로 목적지에 도달하였다. 로봇에 부착된 베이스스테이션노드를 아용하여 서버프로그램에서 환경 데이터와 위치를 실시간으로 모니터링 할 수 있었으며, 서버프로그램에서의 능동적인 로봇제어가 가능하였다.