• 제어로봇시스템학회논문지
• /
• 제21권8호
• /
• pp.781-787
• /
• 2015

This paper proposes a hybrid visual servoing algorithm for the object tracking by a mobile robot with the stereo camera. The mobile robot with the stereo camera performs an object recognition and object tracking using the SIFT and CAMSHIFT algorithms for the hybrid visual servoing. The CAMSHIFT algorithm using stereo camera images has been used to obtain the three-dimensional position and orientation of the mobile robot. With the hybrid visual servoing, a stable balance control has been realized by a control system which calculates a desired angle of the center of gravity whose location depends on variations of link rotation angles of the manipulator. A PID controller algorithm has adopted in this research for the control of the manipulator since the algorithm is simple to design and it does not require unnecessary complex dynamics. To demonstrate the control performance of the hybrid visual servoing, real experiments are performed using the mobile manipulator system developed for this research.

• 제어로봇시스템학회논문지
• /
• 제16권12호
• /
• pp.1182-1188
• /
• 2010

This paper proposes a precise localization algorithm for a quickly moving mobile robot. In order to localize a mobile robot with active beacon sensors, a relatively long time is needed, since the distance to the beacon is measured using the flight time of the ultrasonic signal. The measurement time does not cause a high error rate when the mobile robot moves slowly. However, with an increase of the mobile robot's speed, the localization error becomes too high to use for accurate mobile robot navigation. Therefore, in this research into high speed mobile robot operations, instead of using two active beacons for localization an active beacon and dual compass are utilized to localize the mobile robot. This new approach resolves the high localization error caused by the speed of the mobile robot. The performance of the precise localization algorithm was verified by comparing it to the conventional method through real-world experiments.

• 대한임베디드공학회논문지
• /
• 제12권5호
• /
• pp.295-301
• /
• 2017

Recently, autonomous navigation technology, obstacle recognition, and obstacle collision avoidance technology are actively being developed for an unmanned surface vehicle (USV). The path to move from the current location to the destination should be planned, in order for an USV to autonomously operate safely to its destination. The dynamic window approach (DWA) is a well-known navigation scheme as a local path planning. The DWA algorithm derives the linear velocity and angular velocity by evaluating the destination direction, velocity, and distance from the obstacle. However, because DWA algorithm does not consider tracking the path, when using only the DWA algorithm, the ship may navigate away from the path line after avoiding obstacles. In this paper, we propose an improved DWA algorithm that can follow path line. And we implemented the simulation and compared the existing DWA algorithm with the improved DWA algorithm proposed in this paper. As a result, it is confirmed that the proposed DWA algorithm follows the path line better.

• 전자공학회논문지 IE
• /
• 제43권4호
• /
• pp.52-59
• /
• 2006

보행로봇은 평탄 지형에서나 비평탄 지형에서 이동할 수 있다. 지형에 따라 적절한 알고리즘으로 변화시켜 보행할 수 있다. 지금까지의 시각이 없는 로봇에 적합한 걸음새에 대한 논문들은 각 다리의 착지점을 선택하는 방법에 초점을 맞추고 있다. 그러나 본 논문에서는 스트로크와 주기를 변화시켜 비평탄 지형에서도 안정된 등속도 보행을 하는 알고리즘을 제시한다. 이 적응 알고리즘을 적용하여 로봇이 보행을 한다면, 고 기능의 센서를 이용한 복잡한 제어없이 발바닥에 장착된 힘 센서의 신호만으로도 비평탄 지형에서 안정된 등속도 보행이 가능하다. 본 논문에서는 각 다리에 2 자유도를 갖는 4족 로봇으로 평탄 지형과 비평탄 지형에서 물결 걸음새로 보행하는 실험을 하였다. 보행실험을 통하여 적응 알고리즘이 유용함을 증명하였다.

• 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.

• 제어로봇시스템학회논문지
• /
• 제13권3호
• /
• pp.249-255
• /
• 2007

Under the situation of a fire, it is difficult for a rescue robot to use sensors such as vision sensor, ultrasonic sensor or laser distance sensor because of diffusion, refraction or block of light and sound by dense smoke. But, braille blocks that are installed for the visaully impaired at public places such as subway stations can be used as a map for autonomous mobile robot's localization and navigation. In this paper, we developed a laser sensor stan device which can detect braille blcoks in spite of dense smoke and integrated the device to the robot developed to carry out rescue mission in various hazardous disaster areas at KIST. We implemented MCL algorithm for robot's attitude estimation according to the scanned data and transformed a braille block map to a topological map and designed a nonlinear path tracking controller for autonomous navigation. From various simulations and experiments, we could verify that the developed laser sensor device and the proposed localization method are effective to autonomous tracking of braille blocks and the autonomous navigation robot system can be used for rescue under fire.

• 로봇학회논문지
• /
• 제9권2호
• /
• pp.111-116
• /
• 2014

Human-robot co-operation becomes increasingly frequent due to the widespread use of service robots. However, during such co-operation, robots have a high chance of colliding with humans, which may result in serious injury. Thus, many solutions were proposed to ensure collision safety, and among them, collision detection algorithms are regarded as one of the most practical solutions. They allow a robot to quickly detect a collision so that the robot can perform a proper reaction to minimize the impact. However, conventional collision detection algorithms required the precise model of a robot, which is difficult to obtain and is subjected to change. Also, expensive sensors, such as torque sensors, are often required. In this study, we propose a novel collision detection algorithm which only requires motor encoders. It detects collisions by monitoring the high-pass filtered version of the velocity error. The proposed algorithm can be easily implemented to any robots, and its performance was verified through various tests.

• 로봇학회논문지
• /
• 제9권1호
• /
• pp.11-19
• /
• 2014

In this paper, an external torque estimation problem in one-degree-of-freedom (1-DOF) flexible-joint robot equipped with a joint-torque sensor is revisited. Since a sensor torque from the joint-torque sensor is distorted by two dynamics having a spring connection, i.e., motor dynamics and link dynamics of a flexible-joint robot, a model-based estimation, rather than a simple linear spring model, should be required to extract external torques accurately. In this paper, an external torque estimation algorithm for a 1-DOF flexible-joint robot is proposed. This algorithm estimates both an actuating motor torque from the motor dynamics and an external link torque from the link dynamics simultaneously by utilizing the flexible-joint robot model and the Kalman filter estimation based on random-walk model. The basic structure of the proposed algorithm is explained, and the performance is investigated through a custom-designed experimental testbed for a vertical situation under gravity.

• 제어로봇시스템학회논문지
• /
• 제21권11호
• /
• pp.1070-1075
• /
• 2015

This paper proposes a calibration algorithm for a three-degree-of-freedom (DOF) planar cable-driven parallel robot (CDPR). To evaluate the proposed algorithm, we calibrated winches and an optical tracking sensor, measured the end-effector pose using the optical tracking sensor, and calculated the accurate robot configuration using the measurement information. To conduct an accuracy test on the end-effector pose, we followed guidelines from "Manipulating industrial robots - Performance criteria and related test methods." Through the test, it is verified that the position accuracy can be improved by up to 20% for a $2m{\times}2m$-sized planar cable robot using the proposed calibration algorithm.

• 한국전자통신학회논문지
• /
• 제8권11호
• /
• pp.1665-1674
• /
• 2013

본 논문에서는 허리 관절을 갖는 4족 로봇의 효율적인 경사면 보행을 위해 유전 알고리듬(Genetic Algorithm: GA)을 이용한 경사면 보행 방법을 제안한다. 제안한 방법에서는 먼저, 허리 관절을 갖는 4족 로봇의 기구학적 모델을 유도하며, GA를 수행하기 위한 유전자 및 적합도 함수를 설정한다. 또한, 경사면에서 최적의 에너지 안정여유도(Energy Stability Margin: ESM)를 갖는 4족 로봇의 자세와 도달 영역 내의 발끝 착지 지점을 GA를 이용하여 자동으로 탐색하여 보행한다. 마지막으로, 4족 보행 로봇의 모의 실험을 통해 기존 방법과 비교함으로써 본 논문에서 제안한 방법의 효용성을 검증한다.