Wszystkie pola: modular - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Optimization of a modular neural network for pattern recognition using parallel genetic algorithm
Autorzy:: Cárdenas, M.
Melin, P.
Cruz, L.
Powiązania:: https://bibliotekanauki.pl/articles/384887.pdf
Data publikacji:: 2011
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: modular neural networks
parallel genetic algorithm
multi-core
Opis:: In this paper, the implementation of a Parallel Genetic Algorithm (PGA) for the training stage, and the optimi zation of a monolithic and modular neural network, for pattern recognition are presented. The optimization con sists in obtaining the best architecture in layers, and neu rons per layer achieving the less training error in a shor ter time. The implementation was performed in a multicore architecture, using parallel programming techniques to exploit its resources. We present the results obtained in terms of performance by comparing results of the training stage for sequential and parallel implementations.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 1; 77-84
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Design and Motion Synthesis of Modular Walking Robot Mero
Autorzy:: Ion, I. E.
Marin, A.
Curaj, A.
Vladareanu, L.
Powiązania:: https://bibliotekanauki.pl/articles/384893.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: walking robot
modular walking robot
robot control
shift mechanism
Opis:: The walking robots are built to displace the loads on the not-aligned terrain. The mechatronic walking system protects much better the environment when its contact with the soil is discrete, a fact that limits the area that is crushed appreciatively. At the Polytechnic University of Bucharest a walking modular robot to handle farming tools has been developed. This walking robot has three twolegged modules. Every leg has three freedom degrees and a tactile sensor to measure the contact, which consists of the lower and upper levels. The body of the MERO (MEchanism RObot) walking robot carries a gyroscopic bearing sensor to measure the pitch and roll angles of the platform. The legs are powered by hydraulic drives and are equipped with potentiometric sensors. They are used to control the walking robot in the adaptability to a natural ground. A vehicle like that is Romanian Walking Robot MERO (Fig.1).
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 4; 25-30
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Damage recovery for simulated modular robots through joint evolution of morphologies and controllers
Autorzy:: Akrour, Djouher
Djedi, NourEddine
Powiązania:: https://bibliotekanauki.pl/articles/384984.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: artificial life
controller
evolutionary robotics
modular robot
resilience
sztuczne życie
kontroler
robotyka ewolucyjna
robot modułowy
sprężystość
Opis:: In order to be fully autonomous, robots have to be resilient so that they can recover from damages and operate for a long period of time with no human assistance. To be resilient, existing approaches propose to change the robots’ behavior using a different control system when a hardware fault or damage occurs. These approaches are used for robots which have fixed morphologies. However, we cannot assume which morphology would be optimal for a given problem and which morphology allows resilience. In the present paper, we introduce a new approach that generates resilient artificial modular robots by evolving the robot morphology along with its controller. We used a multi-objective evolutionary algorithm to optimize two objectives at a time, which are the traveled distance of a damage-free robot and the traveled distance of the same robot with damaged parts. The result of preliminary experiments demonstrates that during evaluation, when robots are deliberately faced to motor failures, the evolution process can optimize and generate new morphologies for which the robot’s behavior is less affected by damage. This makes the robot capable to recover its ability to move forward.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 1; 15-19
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and its Optimization with Genetic Algorithms
Autorzy:: Hidalgo, D.
Castillo, O.
Melin, P.
Powiązania:: https://bibliotekanauki.pl/articles/384559.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: modular neural networks
type-2 fuzzy logic
pattern recognition
genetic algorithms
Opis:: We describe in this paper a comparative study between Fuzzy Inference Systems as methods of integration in modular neural networks for multimodal biometry. These methods of integration are based on techniques of type-1 fuzzy logic and type-2 fuzzy logic. Also, the fuzzy systems are optimized with simple genetic algorithms. First, we considered the use of type-1 fuzzy logic and later the approach with type-2 fuzzy logic. The fuzzy systems were developed using genetic algorithms to handle fuzzy inference systems with different membership functions, like the triangular, trapezoidal and Gaussian; since these algorithms generate the fuzzy systems automatically. Then the response integration of the modular neural network was tested with the optimized fuzzy integration systems. The comparative study of type-1 and type-2 fuzzy inference systems was made to observe the behavior of the two different integration methods for modular neural networks for multimodal biometry.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 59-73
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Signature recognition with a hybrid approach combining modular neural networks and fuzzy logic for response integration
Autorzy:: Beltrán, M.
Melin, P.
Trujillo, L.
Lopez, M.
Powiązania:: https://bibliotekanauki.pl/articles/384541.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: pattern recognition
neural networks
fuzzy logic
Opis:: This paper describes a modular neural network (MNN) with fuzzy integration for the problem of signature recognition. Currently, biometric identification has gained a great deal of research interest within the pattern recognition community. For instance, many attempts have been made in order to automate the process of identifying a person’s handwritten signature; however this problem has proven to be a very difficult task. In this work, we propose a MNN that has three separate modules, each using different image features as input, these are: edges, wavelet coefficients, and the Hough transform matrix. Then, the outputs from each of these modules are combined using a Sugeno fuzzy integral and a fuzzy inference system. The experimental results obtained using a database of 30 individual’s shows that the modular architecture can achieve a very high 99.33% recognition accuracy with a test set of 150 images. Therefore, we conclude that the proposed architecture provides a suitable platform to build a signature recognition system. Furthermore we consider the verification of signatures as false acceptance, false rejection and error recognition of the MNN.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 1; 20-27
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Design and analysis of a soft pneumatic actuator to develop modular soft robotic systems
Autorzy:: Tahir, Ahmad Mahmood
Zoppi, Matteo
Powiązania:: https://bibliotekanauki.pl/articles/384581.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: soft actuator
pneumatic actuation
soft robotic mechanism
modularity
scalability
siłownik
modułowość
skalowalność
Opis:: In this paper, we describe the design and analysis of a Soft Cubic Module (SCM) with a single internal pneumatically actuated chamber. The actuation chamber’s shape, size and, orientation have been evaluated to realize a soft robotic actuator which can be further employed for the development of modular soft robotic systems. SCM can be easily manufactured through the molding process and it is composed of single soft material, the silicone polymer. Its external shape allows utilization of this module as a single block actuator as well as makes it easy to combine multiple SCM modules to build multiunit soft robotic systems. We consider it as our first tool to investigate whether the SCM scheme is sufficient to build soft robots which would be able to perform certain given tasks in various configurations like a soft gripper, bio-mimetic crawling mechanism or multi-axis manipulator. So far, the results obtained are encouraging in order to further develop and employ the SCM design scheme, focusing on its further geometrical optimization for both standalone configuration and assembly of multiple modules to realize novel, economic and easy to fabricate soft robotic systems.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 1; 30-36
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Analysis of the surrounding environment using an innovative algorithm based on lidar data on a modular mobile robot
Autorzy:: Giannoccaro, Nicola Ivan
Nishida, Takeshi
Powiązania:: https://bibliotekanauki.pl/articles/2141892.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: mobile robot
driving module
3D digital map
LiDAR
ROS
SLAM
Opis:: In this paper, a low cost mobile robot with a modular design that permits the easy change of the number of wheels is considered for generation of 3D digital maps by using ROS tools and a 3D light detection and distance measurement (LiDAR) sensor. The modular robot is thought for travelling through several environments with saving the energy by changing the number and arrangement of the wheels according to the environment. The presented robot can construct a 3D map in particular structured environment and the running performance was investigated by an extensive characterization. Furthermore, in light of the experimental tests, a new simple algorithm based exclusively of the processing of the LiDAR data is proposed with the aim of characterizing the surrounding environment with fixed landmarks and mobile targets. Finally, the limits of this prototype and of the proposed algorithm have been analyzed, highlighting new improvements in the future perspective development for permitting an autonomous environment perception with a simple, modular and low-cost device.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 4; 25-34
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Dense 3D Structure and Motion Estimation as an Aid for Robot Navigation
Autorzy:: De Cubber, G.
Powiązania:: https://bibliotekanauki.pl/articles/384899.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: outdoor mobile robots
behavior-based control
stereo vision and image motion analysis for robot navigation
modular control and software architecture (MCA)
Opis:: Three-dimensional scene reconstruction is an important tool in many applications varying from computer graphics to mobile robot navigation. In this paper, we focus on the robotics application, where the goal is to estimate the 3D rigid motion of a mobile robot and to reconstruct a dense three-dimensional scene representation. The reconstruction problem can be subdivided into a number of subproblems. First, the egomotion has to be estimated. For this, the camera (or robot) motion parameters are iteratively estimated by reconstruction of the epipolar geometry. Secondly, a dense depth map is calculated by fusing sparse depth information from point features and dense motion information from the optical flow in a variational framework. This depth map corresponds to a point cloud in 3D space, which can then be converted into a model to extract information for the robot navigation algorithm. Here, we present an integrated approach for the structure and egomotion estimation problem.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 4; 14-18
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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