Description: :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改
进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径
规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果
表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。-: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance. Platform: |
Size: 329728 |
Author:zhangying |
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Description: 机器人路径规划与避障的MatLAB源码，对研究机器人路径规划与避障很有帮助！-Robot path planning and obstacle avoidance of MatLAB source, the study of robot path planning and obstacle avoidance helpful! Platform: |
Size: 18432 |
Author:nc21lym |
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Description: An autonomous robot performs without any external control from a human operator. The main components involved in the operation of an autonomous robot are visual detection of the environment, path planning and controls. Path planning has been defined as determining if a continuous and obstacle-avoidance sequence of positions and orientations of the robot exists, starting with the initial position and orientation of the robot, and ending with the goal position and orientation. Platform: |
Size: 52224 |
Author:mt |
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Description: 这是一篇介绍BP神经网络在移动机器人路径规划方面的论文-Abstract：Improves the BP neural network algorithm，so the shortage of path —planning with the
．
BP neural
network algorithm is overcomed ．The simulation results indicate that on the bases of accessional momentum
method can eficiently improve this algorithm in convergence speed．At last，mobile robot dynamic path plan—
ning simulation is carried out in the environment with immobile and mobile obstacle．the simulation result indi—
cates that the method is feasible. Platform: |
Size: 198656 |
Author:王风 |
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Description: 这是一篇由于移动机器人路径规划与避障的文献。很好的-This is one of the mobile robot path planning with obstacle avoidance literature. Good Platform: |
Size: 222208 |
Author:刘海芬 |
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Description: 这是一篇由于移动机器人路径规划与避障的文献。很好的-This is one of the mobile robot path planning with obstacle avoidance literature. Good Platform: |
Size: 190464 |
Author:刘海芬 |
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Description: 这是一篇由于移动机器人路径规划与避障的文献。很好的-This is one of the mobile robot path planning with obstacle avoidance literature. Good Platform: |
Size: 283648 |
Author:刘海芬 |
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Description: 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法.首先建立水下水平面内路径规划的模糊规则,并应用A/B模型进行静态和动态障碍物的避障.同时考虑到模糊边界的选择具有很大的随意性,所生成的路径并非最优,利用PSO算法进行模糊集合的优化,使得最终生成的路径最优.应用设计的粒子群优化模糊(PSO-fuzzy)算法针对动静态障碍物进行了避障路径规划,仿真结果验证了所设计的方法的有效性.-The study was conducted with the aim of
solving the path planning problem of autonomous underwater vehicles (AUV), and a fuzzy path planning algorithm based on particle swarm optimization (PSO) was presented according to fuzzy logic
control
theories．First，a fuzzy
rule for the path planning was set up
in the underwater horizontal plane．
Then，an accelerate／brake(A／B)model
was applied to dealing with static and dynamic avoidance．Considering that the fuzzy boundary choice is of great arbitrariness，and the formation of the path is not optimal，the PSO algorithm was applied to optimization of the fuzzy boundary for making the final generated path most optimal．the designed PSO—fuzzy algorithm Was intended to do statics and dynamic obstacle avoidance path planning．the simulation results verified the effectiveness of the proposed design method． Platform: |
Size: 2371584 |
Author: |
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Description: 针对舰载机牵引系统的甲板调运过程，提出了一种适用于复杂障碍物环境中不规则形状目标的路径规划方法。针对舰载机外轮廓特点，建立了目标的凸构型描述形式，并推导了多目标间碰撞检测及距离计算方法，在此基础上提出了舰载机牵连运动的轨迹跟踪控制算法，同时引入行为动力学方法实现牵引系统的避碰路径规划。为提高复杂环境下的避碰能力，基于广义符号阈值函数，提出了避障行为策略改进方法。仿真结果表明，本文提出的算法能够有效地解决舰载机牵引系统的避碰路径规划问题。-For dealing with dispatching of the carrier aircraft tractor system on deck,a path planning method applicable to the objective of irregular shape in a complex environment with obstacles is described.Considering the features of the carrier-based aircraft outline whose convex polygon description is given,the involved collision de-tection and distance calculation are performed.A trajectory tracking control algorithm for carrier aircraft trac-tion motion is then proposed,meanwhile collision avoidance path planning is realized through conventional be-havior dynamics.In order to raise the collision avoidance ability in complicated environment,based on the gener-alized symbolic threshold function,the obstacle avoidance behavior strategy is improved.In the simulation,the path planning problems with respect to the carrier aircraft tractor system is effectively solved using the algo-rithm developed. Platform: |
Size: 2178048 |
Author: |
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Description: 将改进的蚁群算法与路径几何优化相结合,用于解决移动机器人的全局路径规划问题.算法结合机器人的越障性能对移动机器人的环境空间进行建模.通过设置初始信息素加快蚂蚁的搜索速度,同时设置自适应信息素挥发机制,解决特定地图中初始信息素的干扰问题 设置自适应路径长度,筛选规划路径的优劣 提出由路径优劣程度决定的信息素散播策略,并从几何原理出发,对规划路径进行优化处理,加快最优解的收敛速度.仿真结果验证了该算法的有效性和普遍应用性,在随机给定的环境地图中,该算法能够迅速规划出最优路径.-The improved ant colony algorithm and path geometry optimization were applied to solve the global path planning problem of mobile robot．The obstacle performance was combined in the proposed algorithm to establish the workspace model of the robot．By setting the initial pheromone，the ant searching speed was accelerated，and through the adaptive pheromone mechanism，the interference problem of initial pheromone to the specific map was solved．In addition，the pros and cons of the path planning were screened by setting the adaptive path length． It was also proposed that the pheromone spreading strategy was decided by the path length． Meanwhile，according to the principle of geometry，the planning path was optimized to accelerate the convergence speed of the optimal solution．The effectiveness and universal appfication of the proposed algorithm was demonstrated by the simulation results．In the random environment map，the optimal path could be rapidly obtained with the proposed algorithm．
Platform: |
Size: 2742272 |
Author: |
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Description: 智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy Control）方法等。模糊技术具有人类智能的模糊性和推理能力，在路径规划中，模糊推理的应用主要体现在基于行为的导航方式上，即将机器人的运动过程分解为避障、边界跟踪、调速、目标制导等基本行为，各基本行为的激活由不同的机构分别控制，机器人的最终操作由高层控制机构对基本行为进行平衡后作出综合反应。模糊控制方法将信息获取和模糊推理过程有机结合，其优点在于不依赖机器人的动力学、运动学模型，系统控制融入了人类经验，同时计算量小，构成方法较为简单，节省系统资源，实时性。本文探讨了模糊控制技术在避障路径规划中的应用，并对其进行了仿真设计。(There are many ways on autonomous mobile robot obstacle avoidance system
designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.) Platform: |
Size: 222208 |
Author:zallen
|
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Description: 智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy Control）方法等。(There are many ways on autonomous mobile robot obstacle avoidance system
designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.) Platform: |
Size: 444416 |
Author:zallen
|
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Description: 移动机器人自主避障系统的设计方法多种多样，其中基于模糊控制的机器人避障系统主要是利用模糊逻辑控制器对机器人周围环境信息进行分析和判断，并规划出一条到达目标点的无碰撞路径。该方法有着占用资源小，反应迅速，并能应对相对复杂的外部环境。本文主要以基于模糊控制原理对移动机器人避障路径规划所作的相关研究为主要内容。(There are many ways on autonomous mobile robot obstacle avoidance system
designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.) Platform: |
Size: 749568 |
Author:zallen
|
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Search - path planning with obstacle