Transport Robot With Network Control System
نویسندگان
چکیده
A n e t w o r k c o n t r o l system o f T r a n s p o r t A u t o m a t i c I n t e g r a l Robot (TAIP) mot i o n i n t h e r e a l environment i s suggest e d . I n p u t d a t a and g e n e r a l s t r u c t u r e o f t h e network a r e d e s c r i b e d . A program i s r e p o r t e d o f f u r t h e r e f f o r t s t o i n v e s t i g a t e and r e f i n e t h e network c o n t r o l systems. I n t r o d u c t i o n The problem o f a r t i f i c i a l i n t e l l i gence c r e a t i o n f o r r o b o t s i s c h a r a c t e r i zed by s e v e r a l s p e c i f i c f e a t u r e s . A r o b o t has t o e x i s t i n t h e n a t u r a l e n v i r o n m e n t . I t r e c e i v e s i n f o r m a t i o n f r o m i t s own sens i n g elements m o s t l y d u r i n g a n a c t i v e work. There i s n o one here t o t a k e care f o r i n f o r m a t i o n t o b e complete ( s u f f i c i e n t t o s o l v e a problem a c c u r a t e l y ) , c o n s i s t e n t , and c o n v e n i e n t i n i t s f o r m of r e p r e s e n t a t i o n • The framework of b u i l d u p o f c u r r e n t e f f o r t s o n t h e r o b o t a r t i f i c i a l i n t e l l i g e n c e (See, e . g . , [ 1 ] ) seems t o us, t h e r e f o r e , t o o narrow. The most of suggested p r o c e d u r e s does n o t admit o f i n c o n s i s t e n t d a t a employment and c r e a t e s g r e a t d i f f i c u l t i e s i n r e a l t i m e work. I t e n t a i l s n e c e s s i t y o f l i m i t i n g t h e i n p u t d a t a volume b y a l l
منابع مشابه
Robot control system using SMR signals detection
One of the important issues in designing a brain-computer interface system is to select the type of mental activity to be imagined. In some of these systems, mental activity varies with user intent and action that must be controlled by the brain-computer system, and in a number of other signals, the received signals contain the same activity-related mental activity that should be performed by t...
متن کاملadaptive control of two-link robot manipulator based on the feedback linearization method and the proposed neural network
This paper proposes an adaptive control method based on the feedback linearization technique and a proposed neural network, for tracking and position control of an industrial manipulator. At first, it is assumed that the dynamics of the system are known and the control signal is constructed by the feedback linearization method. Then to eliminate the effects of the uncertainties and external d...
متن کاملAdaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot
The ever-growing use of various vehicles for transportation, on the one hand, and the statistics ofsoaring road accidents resulting from human error, on the other hand, reminds us of the necessity toconduct more extensive research on the design, manufacturing and control of driver-less intelligentvehicles. For the automatic control of an autonomous vehicle, we need its dynamic...
متن کاملAdaptive RBF network control for robot manipulators
TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...
متن کاملANFIS+PID Hybrid Controller Design for Controlling of a 6-DOF Robot Manipulator and its Error Convergence Analysis
In this paper, an ANFIS+PID hybrid control policy has been addressed to control a 6-degree-of freedom (6-DOF) robotic manipulator. Then its error convergence has been also evaluated. The ability to formulate and estimate the system uncertainties and disturbances along with system dynamics and rejecting the disturbances effect are some advantages of the proposed method in comparing with the co...
متن کاملOptimizing the Torque of Knee Movements of a Rehabilitation Robot
The aim of this study is to employ the novel Adaptive Network-based Fuzzy Inference System to optimize the torque applied on the knee link of a rehabilitation robot. Given the special conditions of stroke or spinal cord injury patients, devices with minimum error are required for performing the rehabilitation exercises. After examining the anthropometric data tables of human body, parameters su...
متن کامل