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robot
- 机器人设计，模糊逻辑，人机交互，都是PDF文件，虽然是英文的，但是都很有用的。-Robot design, fuzzy logic, human-computer interaction, are PDF files, though in English, but very useful.
Fuzzy-logic_Type2_fuzzyrobo
- A FIS Editor file (.fis file) of an obstacle avoiding robot using Fuzzy Logic.
UnknownEnvironmentBasedonFuzzyNeural
- ：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 obstac
Robot_Control_by_Fuzzy_Logic
- a PDF of Robot Control By Fuzzy Logic
Introduction-to-Robotics
- 本书全面、简明地介绍了机器人学，包括机器人运动学分析、微分运动、机器人动力学和轨迹规划等。还有一些子系统如驱动器、传感器、视觉系统以及模糊逻辑等。-Book comprehensive and concise introduction to robotics, including robot kinematics analysis, differential motion, robot dynamics and trajectory planning. There are a number of
p3809249
- FUZZY逻辑控制，躲避障碍物到达指定目标,并用神经网络改良原有的模型-ROBOT FUZZY LOGIC SYSTEM
Antilock-brake-system
- As it is mentioned the control of a robot arm using AFC can be considerably improved if a method is found to provide good estimates of the inertia matrix of the arm. Therefore, AFCAFL scheme which exploits the use of fuzzy logic as the inertial
Mohan-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 r
How.to.Write.a.Successful.Science.Thesis
- 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 wal
multi
- matlab多机器人编程设计的程序，采用的是模糊逻辑算法，经检验有较好的效果-matlab robot programming design procedure, using a fuzzy logic algorithm, the test has a good effect
FCdelata
- Delta robot control using Fuzzy logic 2
ICA8052
- 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 track
Adaptive-control-of-robot-manipulator-using-fuzzy
- This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonline
New-Fuzzy-nNetwork-design-using-Genetic-Algorithm
- 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
1997FLSROBOTIEEE_T_SMC
- Abstract—Owing to load variation and unmodeled dynamics, a robot manipulator can be classified as a nonlinear dynamic system with structured and unstructured uncertainties. In this paper, the stability and robustness of a class of the fuzzy log
FuzzyRule_Truck
- 运用模糊控制规则及AFS模糊公理集，对系统状态进行状态回归控制- Based on the theory of axiomatic fuzzy set, we summarize the cluster method of fuzzy concept semantic and fuzzy logic operation through imitating the clustering process of human brain. This algorithm
ROBOT-CONTROL
- ROBOT HAND CONTROLLER IN FUZZY LOGIC
Fuzzy-Logic-of-PUMA-560-Robot-[www.CodeSara.ir].r
- This M-file is designed to be used in a Simulink S-function block. It draws a line the previous input point, which is stored using discrete states, and the current poin-This M-file is designed to be used in a Simulink S-function block. It
模糊控制用于机器人避障
- 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
matlab
- 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 obstac