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   机器人全局路径规划 的翻译结果: 查询用时:0.011秒
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机器人全局路径规划
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  robot global path planning
     The research of robot path planning was summarized,the research status quo,characteristic and main production of robot global path planning method,local path planning method and hybrid method were expatiated,its development directions and study focus were pointed out.
     对机器人路径规划的研究进行了概括和总结,阐述了机器人全局路径规划方法、局部路径规划方法及混合方法的研究现状、特点和主要成果,指出了其今后的发展方向及研究重点。
短句来源
     A NEW ALGORITHM FOR MOBILE ROBOT GLOBAL PATH PLANNING
     一种移动机器人全局路径规划新型算法
短句来源
     MOBILE ROBOT GLOBAL PATH PLANNING USING HEURISTICSEARCH ON THE QM GRAPH
     基于Q-M图启发式搜索的移动机器人全局路径规划
短句来源
     An improved multi-objective optimization genetic algorithm is proposed to optimize the problem of robot global path planning with multiple objectives.
     针对具有多个优化目标的机器人全局路径规划问题,提出一种改进的多目标优化遗传算法。
短句来源
     It mainly includes four parts as follows:Research of mobile robot global path planning in static structural certain environment.
     静态结构化确定性环境中移动机器人全局路径规划研究。
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  “机器人全局路径规划”译为未确定词的双语例句
     Autonomous Underwater Vehicles Global Path Planning Using Case-Based Learning Algorithm
     基于案例的自主式水下机器人全局路径规划的学习算法
短句来源
     Researches on the Global Path Planning of Mobile Robots
     移动机器人全局路径规划的研究
短句来源
     Research on global path planning for robots based on ant colony algorithm
     基于遗传蚁群算法的机器人全局路径规划研究
短句来源
     Potential grid based global path planning for robots
     基于势场栅格法的机器人全局路径规划
短句来源
     The Path Planning for Robots Based on the Genetic Algorithm
     基于遗传进化算法的机器人全局路径规划
短句来源
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  相似匹配句对
     OBSTACLE AVOIDANCE PATH PLANNING OF A MANIPULATOR
     机器人路径规划
短句来源
     Researches on the Global Path Planning of Mobile Robots
     移动机器人全局路径规划的研究
短句来源
     Design and Global Path Planning for the Mobile Robot
     移动机器人设计及其全局路径规划
短句来源
     A global path planning method based on quadrangles for mobile robot
     基于四边形的移动机器人全局路径规划方法
短句来源
     A Global Path Planning Method Based on the Genetic Algorithm for Auto nomous Mobile Robot
     基于遗传算法的自动导引机器人全局路径规划
短句来源
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  robot global path planning
Mobile robot global path planning in a static environment is an important problem.
      


This paper presents an AUV global path planning scheme using case based learning algorithm. Case based learning is relatively a new approach to path planning. Case based learning is learning and reasoning from past episodic information about the environment. A new and suitable solution is generated by retrieving and adapting and old one, which approximately matches the current situation. In this research, the algorithm includes these parts: establishment of path attribute extracted from its features, matching...

This paper presents an AUV global path planning scheme using case based learning algorithm. Case based learning is relatively a new approach to path planning. Case based learning is learning and reasoning from past episodic information about the environment. A new and suitable solution is generated by retrieving and adapting and old one, which approximately matches the current situation. In this research, the algorithm includes these parts: establishment of path attribute extracted from its features, matching and retrieving case from the case library, and updating the case library. The effectiveness of the algorithm is verified through simulations.

本文讨论了基于案例的学习方法在水下机器人全局路径规划中的应用问题.基于案例的学习方法是一种增量式的学习过程,它根据过去的经验进行学习及问题求解.本文对基于案例的学习方法在规划中的应用框架进行了初步研究,对案例属性的提取,案例的匹配和择优,以及案例库的更新等问题提出了相应的算法.最后给出了几组仿真结果.

This paper presents an AUV global path planning scheme using case-based learning algorithm.Case-based learning is a relatively new approach to path planning.Case-based learning is learning and reasoning from past episodic information about the enviromment .Retrieving and adapting an old one ,which approximately matches the current situation,can generate a new and suitable solution.In this research,the algorithm includes these parts:establishment of path attribute extracted from its features,matching and retrieving...

This paper presents an AUV global path planning scheme using case-based learning algorithm.Case-based learning is a relatively new approach to path planning.Case-based learning is learning and reasoning from past episodic information about the enviromment .Retrieving and adapting an old one ,which approximately matches the current situation,can generate a new and suitable solution.In this research,the algorithm includes these parts:establishment of path attribute extracted from its features,matching and retrieving case from the case library,and updating the case library.The effectiveness of the algorithm is verified through simulations.

首次讨论了基于案例的学习方法在自主式水下机器人全局路径规划中的应用问题.基于案例的学习方法是一种增量式的学习过程,它根据过去的经验进行学习及问题求解.本文对基于案例的学习方法在自主式水下机器人的全局路径规划中的应用框架进行了初步研究,对案例属性的提取、案例的匹配和择优以及案例库的更新等问题提出了相应的算法.最后给出了几组仿真结果.

T - vectors are a simple, modular and multifunctional method for detecting path - object collisions and mobile robot global motion planning (GMP). We developed the method to obtaln a set of optimal way - pointS using T vectors. Then, GMP is transformed into searching optimal path from the set of optimal way - points, which can be completed using Hopfield neural networks. The energy function we provided has explicit meanings in physics and simple structure. The equilibrium points of the network gives good GMP....

T - vectors are a simple, modular and multifunctional method for detecting path - object collisions and mobile robot global motion planning (GMP). We developed the method to obtaln a set of optimal way - pointS using T vectors. Then, GMP is transformed into searching optimal path from the set of optimal way - points, which can be completed using Hopfield neural networks. The energy function we provided has explicit meanings in physics and simple structure. The equilibrium points of the network gives good GMP.

T-矢量是一种简单标准的方法,在检测碰撞和移动机器人的全局路径规划中有多方面的作用.现进一步发展了这种方法,提出了利用T-矢量来获得最优过点集的方法,使全局最优规划问题转化为从最优过点集中寻找最优路径问题,从而可用Hopfield能量函数和优化方法得到全局最优规划.提出的能量函数,具有物理意义明确、结构简单、收敛效果好的特点.

 
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