This paper presents an artificial emotional-cognitive system-based autonomous robot control architecture for a four-wheel driven and four-wheel steered mobile robot. Discrete stochastic state-space mathematical model ...
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This paper presents an artificial emotional-cognitive system-based autonomous robot control architecture for a four-wheel driven and four-wheel steered mobile robot. Discrete stochastic state-space mathematical model is considered for behavioral and emotional transition processes of the autonomous mobile robot in the dynamic realistic environment. The term of cognitive mechanism system which is composed from rule base and reinforcement self-learning algorithm explain all of the deliberative events such as learning, reasoning and memory (rule spaces) of the autonomous mobile robot. The artificial cognitive model of autonomous robot control architecture has a dynamic associative memory including behavioral transition rules which are able to be learned for achieving multi-objective robot tasks. Motivation module of architecture has been considered as behavioral gain effect generator for achieving multi-objective robot tasks. According to emotional and behavioral state transition probabilities, artificial emotions determine sequences of behaviors for long-term action planning. Also reinforcement self-learning and reasoning ability of artificial cognitive model and motivational gain effects of proposed architecture can be observed on the executing behavioral sequences during simulation. The posture and speed of the robot and the configurations, speeds and torques of the wheels and all deliberative and cognitive events can be observed from the simulation plant and virtual reality viewer. This study constitutes basis for the multi-goal robot tasks and artificial emotions and cognitive mechanism-based behavior generation experiments on a real mobile robot. (C) 2009 Elsevier B.V. All rights reserved.
In this contribution a survey on a novel approach to locomotion and perception in biologically inspired robots is presented. The basic electronic architecture for modeling and implementing nonlinear dynamics involved ...
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ISBN:
(纸本)9783908158240
In this contribution a survey on a novel approach to locomotion and perception in biologically inspired robots is presented. The basic electronic architecture for modeling and implementing nonlinear dynamics involved in motion and perceptual control of the robot is the Cellular nonlinear network paradigm. It is shown how this continuous time lattice of neural-like circuits can generate suitable and real-time dynamics for efficient control of multi-actuators moving machines, and also to create the basis for a perceptual control of their behaviors.
In this paper we present an experimental test bed for the development and evaluation of unmanned helicopters control. Main component of the suggested test bed is a flying stand which permits all possible movements but...
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We report on a 12-axis accelerometer suite which utilizes 12-axis linear acceleration measurements from four 3-axis accelerometers. This system is capable of deriving linear acceleration, angular acceleration and angu...
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The paper describes the principle of electronic speckle pattern interferometry together with the application possibilities of an accelerometer as a new method of nondestructive testing in research, design and control ...
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The paper describes the principle of electronic speckle pattern interferometry together with the application possibilities of an accelerometer as a new method of nondestructive testing in research, design and control of rubber products, especially of tires. Electronic speckle pattern interferometry can be used to obtain a complete picture of the deformation of a complex assembly under test, or a map of its vibration modes and their amplitudes. We compare resonant frequencies obtained by ESPI method and accelerometer. By using of accelerometer we obtained amplitudes of surface vibrations of personal tyres and we localized the point with maximum amplitude. It was measured this maximum amplitude with corresponding resonant frequency. Finally we can constant that experimental methods determine frequency of natural vibrations with sufficient accuracy and so dynamical characterisations system tyre and disk under their loading.
Humanoid robots should be able to stand and walk despite reasonable external disturbances. This paper addresses the robustness of a humanoid robot to unknown disturbances. Although there are control methods to absorb ...
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In order to help with care work and rescue operations, humanoid robots should have the ability to lift and carry humans gently and steadily. This paper is a step towards the ultimate goal of giving humanoid robots the...
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This paper presents the preliminary results of a multi-disciplinary project aiming at studying technology supported life in a retirement home. The results of semistructured interviews conducted with a group of 40 (sem...
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ISBN:
(纸本)9789639799424
This paper presents the preliminary results of a multi-disciplinary project aiming at studying technology supported life in a retirement home. The results of semistructured interviews conducted with a group of 40 (semi-) autonomously living elderly persons are presented. In general they point in the direction of a "differential indication" of technologies in the sense of identifying personal solution for individual needs. Second, results show that the crucial dimension underlying the acceptance of technologies is the notion of personal control. The paper also identifies ten key design factors to build successful applications for elderly people. Finally an initial version of a new system mixing RFID, tactile screen and large display is described.
As computers and computer networks become more common, a huge amount of information, such as that found in Web contents including multimedia content (images, videos etc.), has been accumulated and circulated. Such inf...
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ISBN:
(纸本)9781605584058
As computers and computer networks become more common, a huge amount of information, such as that found in Web contents including multimedia content (images, videos etc.), has been accumulated and circulated. Such information gives people a framework for organizing their private and professional lives. However, in general, the quality control of Web content is insufficient due to low publishing barriers. In result there is lot of mistaken and unreliable information on the Web that can have detrimental effects on users. This calls for technology that would facilitate judging the trustworthiness of content and the accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and other related opinions and the distribution of them, and so on. Also, as for Web search, conventional Web search engines still suffer from their low precision/recall ratio especially for searching multimedia contents (images, videos etc.). In this paper, we propose an idea to enhance conventional Web search and to analyze Web information credibility by bridging the gap between Web 1.0 contents and Web 2.0 contents. Based on the idea, we overview our research activities on Web search and their information credibility. Copyright 2009 ACM.
This paper proposes a geometrical analysis of the polyhedral feasible domains for the predictive control laws under constraints. The state vector is interpreted as a vector of parameters for the optimization problem t...
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ISBN:
(纸本)9783540856399
This paper proposes a geometrical analysis of the polyhedral feasible domains for the predictive control laws under constraints. The state vector is interpreted as a vector of parameters for the optimization problem to be solved at each sampling instant and its influence can be fully described by the use of parameterized polyhedra and their dual constraints/generators representation. The construction of the associated explicit control laws at least for linear or quadratic cost functions can thus receive fully geometrical solutions. Convex nonlinear constraints can be approximated using a description based on the parameterized vertices. In the case of nonconvex regions the explicit solutions can be obtained using Voronoi partitions based on a collection of points distributed over the borders of the feasible domain.
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