Description: 仿真移动机器人避障的实验,是机器人在制定的环境中避开障碍,到达目的地。-Simulation of mobile robot obstacle avoidance experiments, is in the formulation of the robot environment to avoid obstacles, reach their destinations. Platform: |
Size: 1024 |
Author:jiarunliang |
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Description: 果蔬收获机器人是机器人技术在农业中的具体应用,基于避障的路径规划是果蔬收获机器人主要
的研究内容。由于农业机器人作业环境的复杂性和非结构性,神经网络籽是其重要的研究方法。为此,介
绍了神经网络的特点,重点分析了采用神经网络描述果蔬收获机器人工作环境的基本思路,最后给出了黄
瓜采摘机器人的具体分析实例,对农业机器人工作环境的描述具有较高的参考价值。-Fruit and vegetable harvesting robot is the robot technology in agriculture specific application, based on the obstacle avoidance path planning is the main fruit and vegetable harvesting robot research. Operating environment as a result of agricultural robot complexity and non-structural, neural network is an important seed of research methods. To this end, introduce the characteristics of neural networks, focusing on the use of neural network analysis of fruit and vegetable harvesting robot description of the working environment of the basic ideas, the final cucumber picking robot is given specific examples of analysis of agricultural robot description of the work environment has a high reference value. Platform: |
Size: 182272 |
Author:高子 |
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Description: 轮式移动机器人的避障,可以实现机器人在约束环境中的期望运动-Wheeled mobile robot obstacle avoidance can be achieved in the constrained environment of the robot s expectations Movement Platform: |
Size: 4096 |
Author:华胜 |
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Description: 用差分方法,进行机器人路径规划仿真的程序-Robot swarm simulation in discrete time. Builds on simulation of robot path planning problem for obstacle avoidance problem Platform: |
Size: 4096 |
Author:wanghong |
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Description: 自主机器人 避障 基于模糊控制理论 一段m文件 -Autonomous robot obstacle avoidance based on fuzzy control theory for some m files Platform: |
Size: 2048 |
Author:tondalava |
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Description: 一篇国外人写的地形跟随的文章,最优3D实时地形跟随和威胁回避。-Written by a foreign person to follow the topography of the articles, the best 3D real-time threat avoidance and terrain following. Platform: |
Size: 1214464 |
Author:zhaolong |
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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: 分析了现有船舶自动避碰系统的不足,提出了基于人工势场法的船舶自动避碰系统. 根据
船舶的操纵特性,建立了引力场和斥力场函数,实现船舶自动避碰航行的合力和方向. 在电子海图
所建立的仿真环境中,验证了人工势场法可用于船舶自动避碰系统中.-Analysis of existing ships lack of automatic collision avoidance system is proposed based on artificial potential field method automatic collision avoidance system for ships. According to the ship maneuvering characteristics, the establishment of a gravitational field and the repulsive force field function, automatic collision avoidance to achieve ships sailing together, and direction. in the electronic chart of the simulation environment created to verify the artificial potential field method can be used to ship automatic collision avoidance system. Platform: |
Size: 55296 |
Author:zhangying |
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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: 常用图论算法及其MATLAB程序代码:
1.最短路的Warshall-Floyd算法
2.最小生成树Kruskal避圈法
3.二部图G的最大匹配的算法(匈牙利算法)(The commonly used graph theory algorithm and its MATLAB program code:
1. shortest path Warshall-Floyd algorithm
2. minimum spanning tree Kruskal avoidance method
3. the maximum matching algorithm of the two part graph G (Hungary algorithm)) Platform: |
Size: 37888 |
Author:解码 |
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