Description: 这是一个机器人避障的程序.它模拟的是一个机器人(长方形结构)在马路上沿中线走.同时避开路上障碍的过程.-This is a robot obstacle avoidance procedures. It is a simulated robot (rectangular structure) on the road walking along the midline. At the same time to avoid obstacles on the road course. Platform: |
Size: 50176 |
Author:蒋日华 |
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Description: 智能语音识别避障机器人
// 语音识别+机器人+超声波测距综合应用方案
// 采用特定人识别技术,程序开始时用户需要对语音识别进行训练,每
// 条指令训练两次,训练成功后,才开始真正的语音辨识,针对用户发
// 出的不同语音指令,机器人执行不同的动作,在动作过程中进行超声
// 波测距,遇到障碍物停止动作,并发射飞盘-Intelligent voice recognition robot obstacle avoidance// speech recognition+ Robot+ Ultrasonic rangefinder integrated application program// using specific recognition technology, users need the beginning of the proceedings of the speech recognition training, each// instructions training twice , training success, the only real speech recognition, user-fat// a different voice commands, robot perform different actions, in the course of action to carry out ultrasound// wave ranging, encountered obstacles to stop action, and fired Frisbee Platform: |
Size: 183296 |
Author:会自 |
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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: 本系统以设计题目的要求为目的,采用80C51单片机为控制核心,利用超声波传感器检测道路上的障碍,控制电动小汽车的自动避障,快慢速行驶,以及自动停车,并可以自动记录时间、里程和速度,自动寻迹和寻光功能。整个系统的电路结构简单,可靠性能高。实验测试结果满足要求,本文着重介绍了该系统的硬件设计方法及测试结果分析。
采用的技术主要有:
(1) 通过编程来控制小车的速度;
(2) 传感器的有效应用;
(3) 新型显示芯片的采用.
-The system design requirements for the purpose of the topic, using 80C51 single-chip microcomputer to control the core, the use of ultrasonic sensors detect obstacles on the road, control of electric cars automatic obstacle avoidance, fast low traffic speeds, as well as the automatic parking, and can automatically record the time , mileage and speed, automatic ray tracing and searching functionality. Circuit the whole system of simple structure, high reliability. Experimental test results meet the requirements, the paper highlights the introduction of the system hardware design methods and test results analysis. The technologies used are: (1) through the programming to control the car Platform: |
Size: 377856 |
Author:caorui |
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Description: 采用单片机为控制核心,利用超声波传感器检测道路障碍,控制电动小汽车的自动避障,快慢速行驶,自动停车,并自动记录时间、里程和速度,自动寻迹和寻光功能。-Single-chip computer to control the core, the use of ultrasonic sensors detect obstacles roads, control of electric cars automatic obstacle avoidance, fast low traffic speeds, automatic parking, and automatically record time, mileage and speed, automatic ray tracing and searching functionality. Platform: |
Size: 377856 |
Author:sunstar |
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Description: 本系统以设计题目的要求为目的,采用80C51单片机为控制核心,利用超声波传感器检测道路上的障碍,控制电动小汽车的自动避障,快慢速行驶,以及自动停车,并可以自动记录时间、里程和速度,自动寻迹和寻光功能。整个系统的电路结构简单,可靠性能高。-The system design requirements for the purpose of the topic, using 80C51 single-chip microcomputer to control the core, the use of ultrasonic sensors detect obstacles on the road, control of electric cars automatic obstacle avoidance, fast low traffic speeds, as well as the automatic parking, and can automatically record the time , mileage and speed, automatic ray tracing and searching functionality. Circuit the whole system of simple structure, high reliability. Platform: |
Size: 390144 |
Author:xiaoju |
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Description: 采用80C51单片机为控制核心,利用超声波传感器检测道路上的障碍,控制电动小汽车的自动避障,快慢速行驶,以及自动停车,并可以自动记录时间、里程和速度,自动寻迹和寻光功能。-80C51 single-chip microcomputer used for the control of the core, the use of ultrasonic sensors detect obstacles on the road, control of electric cars automatic obstacle avoidance, fast low traffic speeds, as well as the automatic parking, and can automatically record time, mileage and speed, automatic track finding and searching optical function. Platform: |
Size: 377856 |
Author:郑越兵 |
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Description: 利用Tough变换提取并检测小球边缘,实现该障碍物的特征提取,为机器人避障提供指导!-Tough transform the use of extract and detect the edge of the ball, the realization of the feature extraction of the obstacles for robot obstacle avoidance to provide guidance! Platform: |
Size: 24576 |
Author:晓翠 |
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Description: 本系统采用80C51单片机为控制核心,利用超声波传感器检测道路上的障碍,控制电动小汽车的自动避障,快慢速行驶,以及自动停车,并可以自动记录时间、里程和速度,自动寻迹和寻光功能。整个系统的电路结构简单,可靠性能高。实验测试结果满足要求,本文着重介绍了该系统的硬件设计方法及测试结果分析。
采用的技术主要有:
(1) 通过编程来控制小车的速度;
(2) 传感器的有效应用;
(3) 新型显示芯片的采用
-Of the 80C51 single-chip microcomputer system for the control of the core, the use of ultrasonic sensors detect obstacles on the road to control the electric car' s automatic obstacle avoidance, fast slow moving, and automatically and can automatically record time, mileage and speed, automatic track finding and search light function. Circuit the whole system of simple structure, high reliability. Experimental test results meet the requirements, this article focuses on the system hardware design and analysis of test results. The main technology used: (1) through the program to control the speed of car (2) the effective application of the sensor (3) the adoption of the new graphics chips Platform: |
Size: 287744 |
Author:郭升飞 |
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Description: 机器人避障程序,使用声纳传导,能有效躲避障碍物。-Robot obstacle avoidance procedures, the use of sonar transmission and can effectively avoid obstacles. Platform: |
Size: 6144 |
Author:郭文浩 |
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Description: 坦克自主避障机器人参考代码,利用红外避障传感器对障碍物实行检测和避障-Autonomous obstacle avoidance robot tank reference code, and using infrared sensors to avoid obstacles on the obstacle detection and obstacle avoidance practice Platform: |
Size: 212992 |
Author:riven |
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Description: :为提高移动机器人在未知环境下避障行为的成功率,通过对障碍物信息的输人,从控制输出数据中找出避
障行为模式,生成相应的模糊逻辑控制规则,并把模糊控制算法引入到神经网络中,使得模糊控制器规则的在线精
度和神经网络的学习速度均有较大的提高,使移动机器人具有较为迅速的反应能力,实现机器人连续、快速地避障
并最终到达目标.系统仿真证明了模糊神经网络在移动机器人路径选择中的智能性.-To enable the mobile robot in unknown environment obstacle—avoiding behavior of
Success,based on the information input of obstacles and from the control of output data to find a
obstacle—avoiding behavior model,and To create the fuzzy logic rules,a fuzzy control algorithm is
introduced to the neural network,allowing mobile robot more rapid response ability and to
achieve a robot, and finally reach the target of obstacle avoidance. system sim ulation proves a
fuzzy neural network in mobile robot path choice of intelligence. Platform: |
Size: 290816 |
Author:王风 |
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Description: 基于optical flow的机器人导航和避障算法,并在一虚拟机器人进行了仿真。-This is a project where a virtual robot avoids obstacles in a virtual environment without knowing the environment- the robot navigates autonomously, only by analysing it’s virtual camera view. The algorithm for obstacle avoidance is optical flow based. Platform: |
Size: 218112 |
Author:Fan |
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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: 该程序是针对智能小车躲避障碍物而设计的,小车通过检测其前方所行进道路上是否有障碍物而判断其运行路线,以能够成功躲避障碍物。-The program is designed for smart car avoid obstacles, the car through the test, the marching on the road if there are obstacles and determine the route operation, and to avoid obstacles to success.
Platform: |
Size: 62464 |
Author:张飞飞 |
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Description: A collision avoidance strategy for safe autonomous navigation of an intelligent electric-powered wheelchair in dynamic uncertain environments with moving obstacles Platform: |
Size: 708608 |
Author:gaochaoshd |
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