Description: this mobile robot program including fuzzy control system, keypad, ultrasonic ping)), etc-this is mobile robot program including fuzzy control system, keypad, ultrasonic ping)), etc Platform: |
Size: 4096 |
Author:sroentoel |
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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: 超声导航移动机器人系统设计及模糊避障技术研究，讲述怎么用超声导航避障-Ultrasound navigation system design and fuzzy mobile robot obstacle avoidance technology research, about how to use ultrasound navigation obstacle avoidance Platform: |
Size: 2344960 |
Author:溶溶 |
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Description: In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 676864 |
Author:Sam |
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Description: HOW TO WRITE A SUCCESSFUL SCIENTIFIC THESIS
In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 20823040 |
Author:Sam |
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Description: 基于模糊神经网络的多传感器信息融合，提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别，为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and direction. BP neural network to classify the environment of the obstacles and pattern recognition for mobile robot navigation and obstacle avoidance provides an effective method. Platform: |
Size: 261120 |
Author:wang |
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Description: We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a
kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented
confirming the performance of the tracking controller and its application to different navigation problems.- We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a
kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented
confirming the performance of the tracking controller and its application to different navigation problems. Platform: |
Size: 227328 |
Author:hamed |
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Description: 这是几篇基于模糊算法实现的移动机器人行动、避障期刊论文-This is a few fuzzy algorithm for mobile robot action, obstacle avoidance Papers Platform: |
Size: 2125824 |
Author:wangjinchai |
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Description: In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,-In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking, Platform: |
Size: 296960 |
Author:jacobjacobjacob17 |
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Description: 移动机器人避障的，主要应用了神经网络和模糊控制，在matlab里面运行-Mobile robot obstacle avoidance, the main application of neural networks and fuzzy control, run inside matlab Platform: |
Size: 370688 |
Author:李力 |
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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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