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: 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: 摘 要：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。 -Abstract: The 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, introduced the characteristics of neural networks, focusing on the use of neural network analysis of fruit and vegetable harvesting robot describes the basic idea of the working environment, and finally given a cucumber harvesting robot specific examples of analysis of agricultural robot description of the work environment has a high reference value. Platform: |
Size: 182272 |
Author:彭彭 |
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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: Pioneer3机器人的路径规划程序。包括所有源代码。实现机器人在已知地图环境中的路径规划，包括全局的路径规划和局部的修正的路劲规划。是研究路径规划和动态避障绝好的例子。运行方式：先在服务端执行justPathPlanningGuiServer，然后执行MobileEyes查看规划结果。-Pioneer3 robot path planning process. Including all the source code. Known map of a robot path planning environment, including the global path planning and local amendments to the Road King planning. Is to study the path planning and dynamic obstacle avoidance excellent example. Operating mode: first in the service-side implementation of the justPathPlanningGuiServer, and then the results of the implementation of the planning MobileEyes view. Platform: |
Size: 15490048 |
Author:zihuizhang |
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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: The robot path planning problem is a very challenging problem in robotics.
The main goal of this problem is to construct a collision-free path from a starting position
to an end or destination position. However, this navigation problem includes several
difficult phases that need to be overcome, such as obstacle avoidance, position
identification, and so forth. As Ibrahim [17] pointed out, this problem can be broken in to
several subtasks. A reliable navigation algorithm must be able to 1) Identify the current
location of the robot, 2) Avoid any collisions, 3) Determine a path to the object. Platform: |
Size: 438272 |
Author:mt |
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Description: 遗传算法对移动机器人路径的路径规划，可以设置起始点的位置，并且能够避障，很有用，可以下载。-Genetic algorithm of mobile robot path path planning, can set the position of the starting point, and the ability to obstacle avoidance, is very useful, and can be downloaded. Platform: |
Size: 6903808 |
Author:刘健 |
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Description: 用C++实现机器人路径规划，是对智能避障算法的研究与实现-The realization robot path planning, using C++ Research and implementation of intelligent obstacle avoidance algorithm Platform: |
Size: 531456 |
Author:郭美亭 |
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Description: 用matlab编写的人工势场法路径规划算法演示程序，可以手动绘制障碍物，实现避障和对目标的跟踪，保证可以运行-Matlab prepared by the artificial potential field method of path planning algorithm demo application, you can manually draw obstacles, to realize the obstacle avoidance and target tracking, ensure that you can run Platform: |
Size: 18432 |
Author:changle |
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Description: 该论文 提出了一种适用于移动机器人避障路径规划的混合优化算法。（基于混合细菌觅食和蚁群算法的机器人路径规划研究），是一篇中文核心。-The paper puts forward a kind of hybrid optimization algorithm applied to obstacle avoidance path planning for mobile robots . (Mixed bacteria foraging and ant colony algorithm) Platform: |
Size: 1207296 |
Author:王辉 |
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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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