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International Conference on Autonomous Robots and Agents, ICARA

作者： Marco Baracca Andre Meixner Giuseppe Averta Paolo Salaris Tamim Asfour Matteo Bianchi Dept. of Information Engineering Research Center “E. Piaggio” University of Pisa Pisa Italy Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Dep. of Control and Computer Engineering Politecnico di Torino Turin Italy

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Dual-arm manipulation is a key enabler for significantly enhancing the interaction between humans and robots, and their capabilities to purposefully shape the surrounding environment. However, the spatiotemporal coordination between the motion of the hands required for this type of actions makes their planning not trivial. A proper definition of these coordination patterns moving from the human example could simplify their translation on the robot side, fostering the generation of effective bimanual tasks. In this work, we propose Multivariate functional Principal Component Analysis (MfPCA) as a mathematical tool to encode inter-hands temporal kinematic covariations in terms of principal spatiotemporal coordination patterns in the Cartesian domain. We compared these patterns extracted from a dataset of human bimanual tasks with those resulting from the usage of classical fPCA, applied indep.ndently to each hand (univariate fPCA). We found that MfPCA allows for a better classification of the tasks, with respect to a state of the art taxonomy. For what concerns motion planning, MfPCA and fPCA yield similar accuracy in the reconstruction of the motion, but with a smaller number of principal components needed in the MfPCA case. These results, although preliminary, can open interesting perspectives for the usage of MfPCA for human-like bimanual motion planning and control of robotic manipulators, as well as for action recognition, to enable a more effective human-robot interaction.

关键词： Hands Translation Shape Robot kinematics Taxonomy Human-robot interaction Functional analysis Planning Spatiotemporal phenomena Principal component analysis

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Reaching a consensus on access detection by a decision system 2

Reaching a consensus on access detection by a decision syste...

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2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014

作者： Guevara, Cesar Santos, Matilde Martin, Jose Antonio Lopez, Victoria Dep. Computer Architecture and Automatic Control Complutense University of Madrid Madrid Spain

ISBN: (纸本)9781479920334

Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to information security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined to improve the performance of a classifier. In order to validate the system, a scenario based on real data of the NSL-KDD99 dataset is used. © 2014 IEEE.

关键词： Decision trees

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Model correction mechanishm for nonlinear time variant systems as support to predictive control strategies 19

Model correction mechanishm for nonlinear time variant syste...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Pérez-Castro, A. Sánchez, J. Guzmán, J.L. Dep. of Computer Science and Automatic Control National Distance Education University Madrid Spain Dep. of Computer Science University of Almería Almería Spain

ISBN: (纸本)9783902823625

This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the differences with an available nonlinear model of the system. The proposed approach has a double functionality;on the one hand, it allows a better performance of using nonlinear models for control purposes, like for nonlinear predictive controllers;and on the other hand, it can be used as a diagnosis mechanism since it provides relevant information about the current state of the system. Thus, in order to use this technique with nonlinear time variant systems, a nonlinear model predictive control strategy has been used. The estimator proposed within the framework of this work is similar to the Moving Horizon Estimation strategy. Experimental results on a real tank process are presented to show the main properties of the proposed architecture. © IFAC. © Copyright IFAC 2014.

关键词： Model predictive control

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Dynamic process scheduling using genetic algorithm

Dynamic process scheduling using genetic algorithm

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2017 Annual Conference on New Trends in Information and Communications Technology Applications, NTICT 2017

作者： Hussein, Qasim Mohammed Hasoon, Armaneesa Naaman Control and Computer Engineering Dep. Tikrit University Tikrit Iraq Computer Sciences Dep. Tikrit University Tikrit Iraq

ISBN: (纸本)9781538629628

There is a necessity to schedule the system and user processes by the operating system to getting maximum utilization of the CPU and obtaining high throughput. This paper presents a dynamic scheduling algorithm that make use of genetic algorithm operations for scheduling multi non-preemptive task on uniprocessor system to get minimum average waiting time and average turnaround time. The algorithm dep.nd on construct fitness function that take in its consideration the dead time of process to avoid the starvation problem, in addition to obtaining maximum throughput. The results from proposed algorithm simulation by matlab (8.3) illustrates the successful of this method to obtain optimal result by giving the minimum average turnaround time for executing the given processes. © 2017 IEEE.

关键词： Genetic algorithms

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Segmentation of nuclei in cancer tissue images: Contrasting active contours with morphology-based approach

Segmentation of nuclei in cancer tissue images: Contrasting ...

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8th IEEE International Conference on BioInformatics and Bioengineering, BIBE 2008

作者： Cataldo, Santa Di Ficarra, Elisa Acquaviva, Andrea Macii, Enrico Dep. of Control and Computer Engineering of Politecnico di Torino Italy Dep. of Computer Science Universita di Verona Italy

ISBN: (纸本)9781424428458

In this paper we present a fully automated morphology-based technique for segmentation of nuclei in cancer tissue images and we compare it with a common technique for biomedical image processing, namely active contours. We discuss the limitations of active contours in the processing of immunohistochemical images characterized by heterogeneously stained nuclear region and noise caused by the presence of multiple tissue layers in the sample. We describe the integration of the proposed approach in a fully automated protein activity quantification tool. Finally, we demonstrate and motivate through extensive experiments that our fully automated morphology-based approach provides better accuracy compared to various active contours implementations.

关键词： Morphology

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An approach for determining phong reflectance parameters from real objects

An approach for determining phong reflectance parameters fro...

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15th International Conference on Pattern Recognition, ICPR 2000

作者： Aparicio, Javier Iglesia García-Bermejo, Jaime Gómez University of Valladolid ETSIT Dep. of Systems Engineering and Automatic Control Spain

ISBN: (纸本)0769507506

Modeling reflectance properties from real objects is useful for solving many practical problems, ranging from industrial inspection to computer graphics. In particular, building computer graphics models directly from real objects has recently received increased attention, because it is useful in many important fields such as CAD, entertainment (3-D games, movies) and virtual museums. This paper describes an automatic way to recover actual reflectance parameters, from range and intensity (or color) data acquired from objects. The proposed approach is based on Phong reflection model, since this model is usually preferred for computer graphics. © 2000 IEEE.

关键词： Reflection

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Motivation and Competitive Learning in a Social Robot

Motivation and Competitive Learning in a Social Robot

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Dominguez, Salvador Zalama, Eduardo Garcia-Bermejo, Jaime G. Pulido, Jaime CARTIF Foundation Robotics Computer Vision and Real Time Division Boecillo Valladolid Spain University of Valladolid (Spain) Dep. of Systems Engineering and Automatic Control Industrial Engineering School Spain

ISBN: (纸本)9781424420575

This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generation, visual tracking, and internet information retrieval. The general architecture is first described in the paper. Then, the learning capacity of Arisen is addressed. It learns and performs associations between different stimulus responses through several dynamic neural networks, guided by motivational drives. A number of experiments are discussed, covering stimulus competition, habituation, classical and operant conditioning.

关键词： Social robot learning interaction computer vision motivation

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Wavelet transform based technique for text image localization

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Karbala International Journal of Modern Science 2016年第2期2卷 138-144页

作者： Ali, Suhad A. Hashim, Ashwaq T. Babylon University Science College for Women Computer Science Dep. Babylon Iraq Technology University Control and Systems Engineering Dep. Baghdad Iraq

In this paper, a robust technique based on discrete wavelet transform, edge detection, and morphology operation for scene text detection is proposed. There are several stages in the proposed method. In the first stage, a single wavelet decomposition LH, HL and HH subbands are applied for detecting edges in original scene text image. The projection technique is applied in the second stage to preliminary detect text and non-text pixels. In third stage, 4-connected components are applied, and then area geometric feature is used as threshold to remove non-text region. At last stage, morphological operations are applied to connect isolated text components and to remove non-text regions. The proposed method is applied on a various images such as images of low contrast, complex background images and images of different fonts and size of text. The experimental results show that the proposed method can detect regions of the text perfectly. © 2016 The Authors

关键词： Connected components DWT Image projection Morphological operator

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Algorithm for efficient 3D reconstruction of outdoor environments using mobile robots

Algorithm for efficient 3D reconstruction of outdoor environ...

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2011 IEEE International Conference on Robotics and Automation, ICRA 2011

作者： Fentanes, Jaime Pulido Zalama, Eduardo Gómez-García-Bermejo, Jaime CARTIF Foundation Spain Universidad de Valladolid Spain CARTIF Centro Tecnológico Dep. Of Robotics and Computer Vision Boecillo Valladolid Spain Dep. Of Systems Engineering and Automatic Control Industrial Engineering School Spain

ISBN: (纸本)9781612843865

In this paper, an algorithm for the reconstruction of an outdoor environment using a mobile robot is presented. The focus of this algorithm is making the mapping process efficient by capturing the greatest amount of information on every scan, ensuring at the same time that the overall quality of the resulting 3D model of the environment complies with the specified standards. With respect to existing approaches, the proposed approach is an innovation since there are very few information based methods for outdoor reconstruction that use resulting model quality and trajectory cost estimation as criteria for view planning. © 2011 IEEE.

关键词： Mobile robots

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3D UAV Registration of Large Scale Environment Using Structure From Motion Based Approach 28

3D UAV Registration of Large Scale Environment Using Structu...

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28th International Conference on Information, Communication and Automation Technologies, ICAT 2022

作者： Velagic, Jasmin Balta, Haris Faculty of Electrical Engineering Dep. of Automatic Control and Electronics Sarajevo Bosnia and Herzegovina Siemens Energy Nuremberg Germany

ISBN: (纸本)9781665466929

This paper treats the problem of 3D outdoor environment mapping using images acquired by Unmanned Aerial Vehicle (UAV). The main focus is on the generation of 3D model for large scale environments. In order to perform 3D model reconstruction and mapping from 2D aerial images we employed a Structure from Motion (SfM) based approach. The obtained results using this approach for different scenarios, the rubble field and village, are presented. The generated UAV 3D point cloud data are compared with the ground truth using the least square method, where the ground truth represents a reference model with high accuracy geodetic precision. The comparison of the 3D environment models with the rubble field and village scenarios and the ground truth data is also given. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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