the paper presents an advanced Fuzzy self-tuning PID controller theory and it implement its applications on Data I/O's automated robotic programming systems. Considerable programming technology shift occurred in r...
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the paper presents an advanced Fuzzy self-tuning PID controller theory and it implement its applications on Data I/O's automated robotic programming systems. Considerable programming technology shift occurred in recent device programmer industry;programming density have been constantly fast growing from lowvolume to high-volume programming for all kinds of non-volatile flash memory devices such as NOR flash, NAND flash, and MMC cards, SD flash cards, serial flash device, serial flash cards, flash-based microcontrollers and flash disks as high performance M-systems DiskOnChip. Device programming mode is more demanding an automatic programming than manual operation mode. It drives the creation and implementation of a high-performance automated programming robotic systems. this paper shows how this proposed advanced Fuzzy self-tuning PID controllers work on these automated programming robotic automation systems.
this contribution shows our recent activities of human - robot voice-control system. the keynote lays in design of a system that allows easy control and programming of various robots by a uniform interactive interface...
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this contribution shows our recent activities of human - robot voice-control system. the keynote lays in design of a system that allows easy control and programming of various robots by a uniform interactive interface. Generally the robots are actuated by sets of control commands, sometimes by a manual control interface (touchpad, joystick). the operator has to know the control commands, syntax rules and other properties necessary for successful robot control. Our system offers commands like move left or elevate arm that are translated and sent into the corresponding device (robot). Speech recognition is based on an isolated-word HMM engine with distributed recognition system (DSR). the vocabulary may contain thousands of word and short phrases. It allows us to design an easy dialogue scenario for the robot control system. the system allows direct robot control like moving or programming short sequences. A video camera is included for displaying the working place and employed algorithms of image processing allow the system to detect the position of objects in the working area and facilitate robot's navigation.
In this paper we illustrate the architecture and the main features of a bio-inspired control system employed to govern an anthropomorphic artificial Arm. the manipulation system we developed was designed starting from...
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ISBN:
(纸本)9789728865825
In this paper we illustrate the architecture and the main features of a bio-inspired control system employed to govern an anthropomorphic artificial Arm. the manipulation system we developed was designed starting from a deeply study of the human limb from the anatomical, physiological and neurological point of view. In accordance withthe general view of the Biorobotics field we try to replicate the structure and the functionalities of the natural limb. thanks to this biomimetic approach we obtained a system that can perform movements similar to those of the natural limb. the control system is organized in a hierarchical way. the low level controller emulates the neural circuits located in the human spinal cord and is charged to reproduce the reflexes behaviors and to controlthe arm stiffness. the high level control system generates the arm trajectory performing the inverse kinematics and furnishing the instantaneous muscles reference position. In particular we implemented the Inverse kinematic using a gradient based algorithm;at each step the actuators movements are arranged in order to decrease the distance between the wrist and the target position. Simulation and experimental results shows the ability of the control system in governing the arm to follow a predefined trajectory and to perform human like reflexes behaviors.
the system which allows automating the visual monitoring of the spacecraft ATV rendezvous / separations withthe international space station is being considered. the initial data for this complex is the video signal r...
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the system which allows automating the visual monitoring of the spacecraft ATV rendezvous / separations withthe international space station is being considered. the initial data for this complex is the video signal received from the TV-camera, mounted on the station board. the offered algorithms of this video signal processing in real time allow restoring the basic characteristics of the spacecraft motion with respect to the international space station. the results of the experiments withthe described software and real and virtual video data about the docking approach of the spacecraft withthe international Space Station are being presented. the accuracy of the estimation of the motion characteristics and perspectives of the use of the package are being discussed.
Aspects of the mechatronic design and prototyping of a robot designed and realized withthe quasiholonomy property are discussed here. After an overview of the motivation and applications of the project at hand, we sh...
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ISBN:
(纸本)9781424406012
Aspects of the mechatronic design and prototyping of a robot designed and realized withthe quasiholonomy property are discussed here. After an overview of the motivation and applications of the project at hand, we show how we faced the challenges encountered in the mechatronic design and implementation of the prototype. the actuation system and power supply dimensioning are then described, along withthe selection of the on-board control unit and programming of the real-time operating system. Advantages of quasiholonomic robotic systems are substantiated.
Empirical evidence shows that infants 10 months of age can learn about 10 times faster than infants 2 months of age that a novel entity is socially contingent. this suggests that during the period from 2 to 10 months ...
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ISBN:
(纸本)9781424411153
Empirical evidence shows that infants 10 months of age can learn about 10 times faster than infants 2 months of age that a novel entity is socially contingent. this suggests that during the period from 2 to 10 months of age infants became better learners. One possible explanation for this change is that new brain structures grow, in a genetically predetermined manner, that support more efficient learning. An analogy for this point of view would be the increase in mastication efficiency due to the growth of teeth. An alternative hypothesis is that the increase in learning efficiency is itself the result of a learning process that operates on the time scale of months. Under this view, better learning is the consequence of learning itself. Here we explore the plausibility of the "learning to learn" hypothesis from a computational point of view. We show that with standard reinforcement learning algorithms using an internally generated reinforcement signal it is possible to develop agents that progressively learn to learn within a period of months. the results fit well at a qualitative level empirical evidence regarding the development of social contingency detection in infants. the learning techniques that we explored have potential application for robots that learn to learn on their own.
A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists ...
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ISBN:
(纸本)9789086860241
A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of nodes-concepts (describing elements of the system) which are connected with weighted edges (representing the cause and effect relationships among the concepts). FCMs have proved to be a promising modeling methodology with many successful applications in different areas especially for simulating system design, modeling and control. In this work, FCMs are introduced to model a decision support system for precision agriculture (PA). the FCM model developed consists of nodes which describe soil properties and cotton yield and of the weighted relationships between these nodes. the nodes of the FCM model represent the main factors influencing cotton crop production i.e. essential soil properties such as texture, pH, OM, K, and P. the proposed FCM model addresses the problem of crop development and spatial variability of cotton yield, taking into consideration the spatial distribution of all the important factors affecting yield. the first results of the study are very promising;our model achieves a 70% average success rate on yield class prediction between two possible categories (low and high) for three different years. this model will be further investigated to achieve better results by introducing learning algorithms into FCMs.
this paper presents a software environment for children at the age of four to six years. It is designed to teach navigational knowledge in a virtual environment. A prototype of a prop based input device is proposed in...
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ISBN:
(纸本)9781595937476
this paper presents a software environment for children at the age of four to six years. It is designed to teach navigational knowledge in a virtual environment. A prototype of a prop based input device is proposed in this regard. We report on a study at a day-care centre that was conducted to compare cursor and mouse control to the prototype. Furthermore the evaluation examined whether a transfer of knowledge from a virtual environment to a real world situation is discernible. It became obvious that cursor and mouse control is too difficult for children at the predefined age. A transfer of knowledge might be facilitated by using tangible user interfaces. Copyright 2007 ACM.
In this paper, the methods of the modeling and decomposition of the large and complex discrete event manufacturing systems are considered, and a methodology is presented for hierarchical and distributed control, where...
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the proceedings contain 66 papers. the topics discussed include: should Normal Distribution be normal? the student's T alternative;a new approach for computer support of strategic decision making in enterprises by...
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ISBN:
(纸本)0769528945
the proceedings contain 66 papers. the topics discussed include: should Normal Distribution be normal? the student's T alternative;a new approach for computer support of strategic decision making in enterprises by means of a new class of understanding based management support systems;GUI patterns and Web semantics;finding a needle in a haystack- from Baldwin effect to quantum computation;introduction of humatronics- towards integration of web intelligence and robotics;benchmark problems of signal processing and control for testing emergent architectures and programming techniques of DSP's, FASIC's, and PLD's;location prediction methods with Markovian approach and extended random walk model;architecture of a predictive maintenance framework;and the theoretical framework of the optimization of public transport travel.
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