• Title/Summary/Keyword: Path set

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장애물의 기하투영에 의한 일차매개곡선을 이용한 충돌회피 경로계획 (A collision-free path planning using linear parametric curve based on geometry mapping of obstacles)

  • 남궁인
    • 대한기계학회논문집A
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    • 제21권12호
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    • pp.1992-2007
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    • 1997
  • A new algorithm for planning a collision-free path is developed based on linear prametric curve. In this paper robot is assumed to a point, and two linear parametric curve is used to construct a path connecting start and goal point, in which single intermediate connection point between start and goal point is considered. The intermediate connection point is set in polar coordinate(${\theta}{\delta}$) , and the interference between path and obstacle is mapped into CPS(connection point space), which is defined a CWS GM(circular work space geometry mapping). GM of all obstacles in workspace creates overlapping images of obstacle in CPS(Connection Point Space). The GM for all obstacles produces overlapping images of obstacle in CPS. The empty area of CPS that is not occupied by obstacle images represents collision-free paths in Euclidian Space. A GM based on connection point in elliptic coordinate(${\theta}{\delta}$) is also developed in that the total length of path is depend only on the variable .delta.. Hence in EWS GM(elliptic work space geometry mapping), increasing .delta. and finding the value of .delta. for collision-free path, the shortest path can be searched without carring out whole GM. The GM of obstacles expersses all possible collision-free path as empty spaces in CPS. If there is no empty space available in CPS, it indicates that path planning is not possible with given number of connection points, i.e. path planning is failed, and it is necessary to increase the number of connection point. A general case collision-free path planning is possible by appling GM to configuration space obstacles. Simulation of GM of obstacles in Euclidian space is carried out to measure performance of algorithm and the resulting obstacle images are reported.

메쉬 구조의 망에서 대역 공유를 통한 복구 경로 설정 알고리즘 (Backup path Setup Algorithm based on the Bandwidth Sharing in Mesh Networks)

  • 이황규;홍석원
    • 한국정보통신학회논문지
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    • 제6권1호
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    • pp.41-47
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    • 2002
  • 망 복구에 있어서 주요한 과제는 작업 경로에 대한 복구 경로를 설정하는 것이다. 장애가 발생하더라도 서비스의 중단이 없도록 하기 위해서는 복구 경로를 설정할 때 작업 경로의 대역을 보장할 수 있는 복구 경로를 설정해야 한다. 따라서 이 과제는 대역을 보장하는 작업 경로와 복구 경로를 동시에 설정하는 QoS 라우팅의 해결책이 요구된다. 본 논문에서는 특정 복구 경로가 복구의 대상으로 하는 작업 경로와 농일 링크를 지나지 않는 작업 경로에 대한 다른 복구 경로들과 대역을 공유함으로써 최대한 대역의 소비를 피하면서, 작업 경로의 서비스를 보장할 수 있는 복구 경로를 설정하는 알고리즘을 제시하고 시뮬레이션을 통해서 복구 경로로 인한 대역의 소비 효과와 거부 효과를 분석하였다.

Local path-planning of a 8-dof redundant robot for the nozzle dam installation/detachment of the nuclear power plants

  • Park, Ki C.;Chang, Pyung H.;Kim, Seung H.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.133-136
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    • 1996
  • The nozzle dam task is essentially needed to maintain and repair nuclear power plants. For this task, an 8-dof redundant robot is studied with a local path-planning method[l] which is effective to find the optimal joint path in the constrained environment. In this paper, the method[l] is improved practically with the weight matrix and efficient algorithm to find working set. The effectiveness of the proposed method is demonstrated by simulation and animation.

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레이저 토치의 절단경로 생성을 위한 혼합형 유전알고리즘 (A Hybrid Genetic Algorithm for Generating Cutting Paths of a Laser Torch)

  • 이문규;권기범
    • 제어로봇시스템학회논문지
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    • 제8권12호
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    • pp.1048-1055
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    • 2002
  • The problem of generating torch paths for 2D laser cutting of a stock plate nested with a set of free-formed parts is investigated. The objective is to minimize the total length of the torch path starting from a blown depot, then visiting all the given Parts, and retuning back to the depot. A torch Path consists of the depot and Piercing Points each of which is to be specified for cutting a part. The torch path optimization problem is shown to be formulated as an extended version of the standard travelling salesman problem To solve the problem, a hybrid genetic algorithm is proposed. In order to improve the speed of evolution convergence, the algorithm employs a genetic algorithm for global search and a combination of an optimization technique and a genetic algorithm for local optimization. Traditional genetic operators developed for continuous optimization problems are used to effectively deal with the continuous nature of piercing point positions. Computational results are provided to illustrate the validity of the proposed algorithm.

생존도를 고려한 WDM 망의 경로설정 및 파장할당 (Routing and Wavelength Assignment in Survivable WDM Networks)

  • Lee, Taehan;Park, Sungsoo
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2001년도 추계학술대회 논문집
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    • pp.124-127
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    • 2001
  • We consider the routing and wavelength assignment problem in survivable WDM transport network without wavelength conversion. We assume the single-link failure and a path protection scheme in optical layer. When a physical network and a set of working paths are given, the problem is to select a link-disjoint protection path for each working path and assign a wavelength for each working and protection path. We give an integer programming formulation of the problem and propose an algorithm to solve it based on column generation technique and variable fixing. We devise a branch-and-price algorithm to solve the column generation problem. We test the proposed algorithm on some randomly generated data and test results show that the algorithm gives very good solutions.

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초 중량물 핸드링 로봇의 성능평가에 관한 연구 (A Study on the Performance Evaluation of Heavy Duty Handling Robot using Laser Tracker)

  • 고해주;정윤교;신혁;유한식
    • 한국기계가공학회지
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    • 제9권3호
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    • pp.1-7
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    • 2010
  • The aim of this research is to evaluate movement and path characteristics of developed heavy duty handling robot using laser tracker(API T3) according to the ISO 9283 robot performance evaluation criteria. As carry out 3D modeling and simulation using CATIA, a test cube was set up to select moving and measuring range of robot. Performance test for pose and distance accuracy, path and path velocity accuracy under payload zero and 440kgf was accomplished. The resulted output data show the reliability of the developed robot.

오스테나이트 결정립 미세화를 위한 후판 압연 패스 스케줄의 설계 (Design of Rolling Path Schedule for Refinement of Austenite Grain)

  • 홍창표;박종진
    • 대한기계학회논문집A
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    • 제25권11호
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    • pp.1844-1853
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    • 2001
  • In the present investigation, it was attempted to design the rolling pass schedule fur a clean steel of 0.1C-1.5Mn-0.25Si with the objective of the austenite grain refinement. As the method of approach, a coupled mathematical modeling technique was proposed which consists of a recrystallization model and a flow stress modes. The validity of the coupled model was examined through comparison with results of continuous and discontinuous compression tests at various temperatures, strains and strain rates. The coupled model was incorporated with the finite element method to set up a systematic design methodology far the rolling path schedule for austenite grain refinement. Two path schedules were obtained and discussed in the paper with regard to rolling path time, average grain size, grain size deviation in thickness, etc.

비대칭 외판원문제에서 3-Opt를 이용한 효율적인 국지탐색 알고리즘 (An Efficient Local Search Algorithm for the Asymmetric Traveling Salesman Problem Using 3-Opt)

  • 김경구;권상호;강맹규
    • 산업경영시스템학회지
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    • 제23권59호
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    • pp.1-10
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    • 2000
  • The traveling salesman problem is a representative NP-Complete problem. It needs lots of time to get a solution as the number of city increase. So, we need an efficient heuristic algorithm that gets good solution in a short time. Almost edges that participate in optimal path have somewhat low value cost. This paper discusses the property of nearest neighbor and 3-opt. This paper uses nearest neighbor's property to select candidate edge. Candidate edge is a set of edge that has high probability to improve cycle path. We insert edge that is one of candidate edge into intial cycle path. As two cities are connected. It does not satisfy hamiltonian cycle's rule that every city must be visited and departed only one time. This paper uses 3-opt's method to sustain hamiltonian cycle while inserting edge into cycle path. This paper presents a highly efficient heuristic algorithm verified by numerous experiments.

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Integrated Path Planning and Collision Avoidance for an Omni-directional Mobile Robot

  • Kim, Dong-Hun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제10권3호
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    • pp.210-217
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    • 2010
  • This paper presents integrated path planning and collision avoidance for an omni-directional mobile robot. In this scheme, the autonomous mobile robot finds the shortest path by the descendent gradient of a navigation function to reach a goal. In doing so, the robot based on the proposed approach attempts to overcome some of the typical problems that may pose to the conventional robot navigation. In particular, this paper presents a set of analysis for an omni-directional mobile robot to avoid trapped situations for two representative scenarios: 1) Ushaped deep narrow obstacle and 2) narrow passage problem between two obstacles. The proposed navigation scheme eliminates the nonfeasible area for the two cases by the help of the descendent gradient of the navigation function and the characteristics of an omni-directional mobile robot. The simulation results show that the proposed navigation scheme can effectively construct a path-planning system in the capability of reaching a goal and avoiding obstacles despite possible trapped situations under uncertain world knowledge.

Hierarchical Fuzzy Motion Planning for Humanoid Robots Using Locomotion Primitives and a Global Navigation Path

  • Kim, Yong-Tae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제10권3호
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    • pp.203-209
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    • 2010
  • This paper presents a hierarchical fuzzy motion planner for humanoid robots in 3D uneven environments. First, we define both motion primitives and locomotion primitives of humanoid robots. A high-level planner finds a global path from a global navigation map that is generated based on a combination of 2.5 dimensional maps of the workspace. We use a passage map, an obstacle map and a gradient map of obstacles to distinguish obstacles. A mid-level planner creates subgoals that help the robot efficiently cope with various obstacles using only a small set of locomotion primitives that are useful for stable navigation of the robot. We use a local obstacle map to find the subgoals along the global path. A low-level planner searches for an optimal sequence of locomotion primitives between subgoals by using fuzzy motion planning. We verify our approach on a virtual humanoid robot in a simulated environment. Simulation results show a reduction in planning time and the feasibility of the proposed method.