• 제어로봇시스템학회논문지
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• 제22권3호
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• pp.210-216
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• 2016

This paper presents a novel collision avoidance technique for mobile robots based on omni-directional vision simultaneous localization and mapping (SLAM). This method estimates the avoidance path and speed of a robot from the location of an obstacle, which can be detected using the Lucas-Kanade Optical Flow in images obtained through fish-eye cameras mounted on the robots. The conventional methods suggest avoidance paths by constructing an arbitrary force field around the obstacle found in the complete map obtained through the SLAM. Robots can also avoid obstacles by using the speed command based on the robot modeling and curved movement path of the robot. The recent research has been improved by optimizing the algorithm for the actual robot. However, research related to a robot using omni-directional vision SLAM to acquire around information at once has been comparatively less studied. The robot with the proposed algorithm avoids obstacles according to the estimated avoidance path based on the map obtained through an omni-directional vision SLAM using a fisheye image, and returns to the original path. In particular, it avoids the obstacles with various speed and direction using acceleration components based on motion information obtained by analyzing around the obstacles. The experimental results confirm the reliability of an avoidance algorithm through comparison between position obtained by the proposed algorithm and the real position collected while avoiding the obstacles.

• 대한기계학회논문집A
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• 제38권11호
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• pp.1193-1199
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• 2014

서비스 로봇이 충돌안전성을 확보한 상태에서 고속 주행 임무를 수행하기 위해서는 동적 장애물의 속도를 고려한 궤적 계획이 필요하다. 정적 장애물만을 고려한 상태에서 궤적을 계획하는 경우 장애물과의 상대속도로 인해서 로봇이 장애물과 충돌할 수 있다. 본 연구에서는 동적 장애물의 속도를 고려한 궤적시간조정기법을 제안한다. 제안된 기법을 통해서 기존에 생성된 궤적의 시간을 조정해서 장애물 회피가 가능한지를 평가할 수 있다. 만일 회피가 불가능할 경우 생성된 경로가 아닌 다른 경로를 선택할 수 있다. 모의 시험 결과를 통해서 제안된 기법을 통해서 짧은 시간 내에 장애물 회피를 수행할 수 있음을 보였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.1138-1144
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• 2008

To study the feasibility of applying wireless communication technology to the control of train for the effective control of train and for the reduction of cost and time to construct the necessary infra structure, we investigate into the application of the existing commercial WCDMA network to CBTC (communication-based train control) to grasp the obstacles and propose the solutions to circumvent them. The obstacles can be categorized into the hand-off problem, the interference problem near the stations, and the problem of radio shadow areas. We propose, as solutions, the cell overlap method and multi-terminal approach for the hand-off problem, the cell sectoring method for the interference problem, and establishment of new base stations along the railroad both to provide the wireless train control and communication service to the customers on the train which was otherwise impossible because of the shadowing effect.

• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1130-1136
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• 2009

A new control algorithm for the yaw motion control of a unicycle robot has been proposed in this paper. With the increase of life quality, there are various transportation systems such as segway and unicycle robot which provide not only transportation but also amusement. In most of the unicycle robots share the same technology in that the directions of roll and pitch are controlled by the balance controllers, allowing the robots to maintain balance for a long period by continuously moving forward and backward. However, one disadvantage of this technology is that it cannot provide the capability to the robots to avoid obstacles in their path way. This research focuses to provide the yawing function to the unicycle robot and to control the yaw motion to avoid the obstacles as desired. For the control of yawing motion, the yaw angle is adjusted to the inertia generated by the velocity and torque of a yawing motor which is installed in the center axes of the unicycle robot to keep the lateral control simple. Through the real experiments, the effective and robustness of the yawing control algorithm has been demonstrated.

• 대한교통학회지
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• 제23권3호
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• pp.21-34
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• 2005

항공의 전 분야에 있어 항공안전은 아무리 강조해도 지나치지 않으며 항공안전에 주의를 기울이지 못하여 발생되는 항공기사고(aircraft accidents)는 항공기의 전 비행단계중 약 70%가 비행장주위의 이 착륙단계에서 일어나는 CFIT(Controlled Flight into Terrain) 사고라는 것은 주지의 사실이다. 이러한 점을 고려 할 때에 비행장주위의 장애물(obstacle)을 관리(control)하는 것은 항공기사고를 방지하고 비행장의 장기적인 존속을 보장한다는 측면에서 항공안전차원의 안전운항에 지대한 역할을 한다고 할 수 있다. 그러나 안전운항이 보장되는 범위 내에서 비행장주위의 장애물에 대한 제한을 효율적으로 관리하고 비행장주위의 규제에 따른 사유재산권의 제한을 해소하며, 장애물을 관리하는데 소요되는 노력을 경감하기 위한 차폐이론(Shielding)의 적용 역시, 안전운항과 더불어 비행장주위 공역을 효율적으로 활용할 수 있다는 측면에서 중요하게 고려하여야 할 사항이다. 실제로 국제민간항공기구(ICAO)나 항공선진국들은 기존장애물의 영향이 미치는 음영면 이하의 장애물은 장애물로 간주하지 않는다는 차폐이론 적용하여 건축규제를 완화하거나 장애물 표시등의 의무를 면제하고 있다. 물론 이와 같은 차폐이론의 적용은 국제적으로 통일된 차폐기준에 따라 적용되는 것이 아니며 각 국가의 상황에 따라 또는 각 비행장의 환경에 따라 신규장애물의 차폐 여부를 확인하고 항공학적인 연구를 통하여 안전운항에 영향이 없다는 판단 하에 적용 관리하고 있다. 국내에서도 비행장주위에 장애물제한에 관하여 항공법에 규정하고 있고, 최근 개정안으로 제시되어진 동법 시행규칙에서는 국제민간항공기구의 차폐기준의 적용을 포함하는 신규 규정을 포함시켜 놓았다. 그러나 이러한 규정만으로는 비행장 주위의 항공장애물을 체계적으로 관리하기가 어려우며, 특히 국내 비행장 주위의 공역에서 차폐이론적용에 필요한 세부기준이 제시되어 있지 않다는 점에서 논란의 여지가 많다. 따라서 본 연구에서는 항공장애물과 관련된 국제민간항공기구(ICAO)의 규정 및 항공선진국들의 관련 규정을 검토 분석하고 국내의 현황과 비교 분석한 후 국제기준에 비추어 국내환경에서도 적용 가득한 비행장 공역에서의 항공장애물관리규정(안)의 방향을 제시하고자 한다. 특히 논란의 여지가 많은 차폐이론의 적용에 이어 명확한 기준방안을 제시하여 항공안전과 효율적인 공역운영을 위한 대안을 설정하는데 도움을 주고자 한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2475-2480
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• 2003

A control system design based on coupled nonlinear oscillators (CNOs) for a self-organized swarm system is presented. In this scheme, agents self-organize to flock and arrange group formations through attractive and repulsive forces among themselves using CNOs. Virtual agents are also used to create richer group formation patterns. The objective of the swarm control in this paper is to follow a moving target with a final group formation in the shortest possible time despite some obstacles. The simulation results have shown that the proposed scheme can effectively construct a self-organized multi-agent swarm system capable of group formation and group immigration despite the emergence of obstacles.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.639-644
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• 2003

An unstructured environment requires a robot to possess outstanding mobility and advanced control algorithms since there exist complicated configurations such as obstacle, uneven surface, etc. Especially, when a quadruped robot walks in these environments, obstacles in the walking route will obstruct the walking or may give rise to a serious trouble. In this paper, we introduce a strategy for the stable walking in unstructured environment. The proposed strategy consists of two control algorithms. One is a collision{free algorithm to avoid obstacles and the other is an algorithm to overcome any obstacle. These are based on the obstacle detection method and a shape reconstruction algorithm, Which algorithms are described in detail. In addition, the validity of these algorithms have been demonstrated through experiments using a quadruped walking robot called "MRWALLSPECT III(Multifunctional Robot for Wall inSPECTion version 3 )".

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.319-322
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• 1995

This paper addresses that through the use of Fuzzy Logic Control, a reactiv behavior (e.g. avoiding obstacles on the way) are smoothly blended into one sequence of control action. In this classical problem, the aim is to guide a mobile robot along its path to avoid any static obstacles in front of it. This controller presented here uses three sub-controllers. This fuzzy controller was apply to a miniature mobile robot. This robot follows a left wall, maintining a minimum distance.

• 한국산업융합학회 논문집
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• 제21권3호
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• pp.125-131
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• 2018

In this paper, we propose a homogeneous multisensor-based navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments with moving obstacles using multi-ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method by fuzzy inference is used to govern the robot motions. The major factors for robot navigation are represented as a cost function. Using the data of the robot states and the environment, the weight value of each factor using fuzzy inference is determined for an optimal trajectory in dynamic environments. For the evaluation of the proposed algorithm, we performed simulations in PC as well as real experiments with mobile robot, AmigoBot. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.

• 로봇학회논문지
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• 제2권1호
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• pp.55-63
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• 2007

Mobile robots traveling on rough terrain need several algorithms to overcome obstacles. In this paper, we propose the step-type obstacle traversal algorithm to adapt the mobile robot with six arms and wheels to travel on rough terrain. Obstacle traversal is composed of two different stages: planning and control. In planning stage, the required joint torque of each arm as well as the interference between the wheels and the arms are analyzed to guarantee traversing obstacles. Control stage includes such steps as checking distance to obstacle, determining the height and length of obstacle, performing arm motion according to sensed torque data, and evaluating safety at every instance. The proposed algorithm is designed and implemented for CALEB 1 six legged robot developed in the laboratory and verified by simulation and experiment in outdoor environment.