Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Our aim is to better understand the action selection process of intelligent systems by looking at their ability of internal prediction. In robotic systems, one problem is to generate meaningful robot behaviour with a very small and simple set of trained motions. An additional problem is to compensate for incomplete sensory data while generating behaviour. We propose a new predictive action selector...
This article describes the implementation and use of a two-accelerometer system to measure the angle formed between lower joints of weightlifters during the execution of the technical gesture. Being aware of movement between joints will allow identifying bad moves and prevent injuries in athletes. Likewise, it will help in turn to rehabilitation for people with problems in the movement of their joints...
We present a model for the autonomous and simultaneous learning of smooth pursuit and vergence eye movements based on principles of efficient coding. The model accounts for the joint development of visual encoding and eye movement control. Sparse coding models encode the incoming data and capture the statistics of the input in spatio-temporal basis functions while a reinforcement learner generates...
In this paper, we present a linear joint transceiver design for downlink transmissions of multiuser multi-input multioutput (MU-MIMO) system using lattice reduction algorithms, based on the minimum sum of the mean-squared errors (MSEs) criterion and subject to a per-user power constraint. Our design consists of two main steps. First, we decompose the MU-MIMO system into parallel single user (SU-)...
This research is focused on providing solutions for kinematic evaluation of articulated rigid objects when noisy data is available. Recent results proposed different techniques which necessitate learning stages or large relative motions. Our approach starts from a complete analytical solution which uses only point and line features to parametrize the rigid motion. This analytical solution is built...
Paper presents an integrated kinematics and dynamic modeling of the swing, hoist and crowd movements of an electric mining shovel driven by regenerative vector controlled ac drives through ropes and gear reducers. The shovel is modeled as a 4-dof articulated mechanical system with three rotating joints and one prismatic joint. Using the developed models a typical truck loading cycle of digging, swinging,...
Learning features from sensory and motor information is an important step towards the autonomous acquisition of internal models in cognitive robotics. Here we study a neural model of orientation selective cells in the primary visual cortex, and ask whether it can also function as a feature detector for other somatosensory modalities. We apply this model to proprioceptive and motor information generated...
This work presents a reactive geometric invariance method for the coordination of multi-robot systems. Some of the constraints representing the coordination of the multi-robot system are defined in terms of robot sensors that are not affected by the robot kinematics error, e.g., due to miscalibrations or lack of repeatability, in order to obtain accurate enough measurements, other constraints are...
Coordinating vision with movements of the body is a fundamental prerequisite for the development of complex motor and cognitive skills. Visuo-motor coordination seems to rely on processes that map spatial vision onto patterns of muscular contraction.
The combination of imitation and exploration strategies is used in this paper to transfer sensory-motor skills to robotic platforms. The aim is to be able to learn very different tasks with good generalization capabilities and starting from a few demonstrations. This goal is achieved by learning a task-parameterized model from demonstrations where a teacher shows the task corresponding to different...
Network virtualization is critical for distributing cloud services over expanded distances and improving scalability and responsiveness. However many providers are very concerned about maintaining high availability, particularly under large catastrophic/disaster type conditions causing multiple failures. Now recent studies have looked at network virtualization for disaster recovery. However these...
Energy harvesting (EH) has recently emerged as a promising technology for next-generation green wireless networks, as it can power communication nodes with renewable energy. However, it is challenging to provide satisfactory performance in such systems, due to the sporadic energy arrival and the low harvesting rate. In this paper, we propose a novel cooperation strategy for EH networks with the help...
Integrating multiple experiments to explore genetic factors contributing to the commonality and the diversity among species, omics or platforms has drawn an increasing attention recently. The study is in fact a pattern discovery process and the accuracy varies using different approaches. Most focused on multivariate structure of data and over-looked the nature of biological data, i.e. they are replicated...
In this paper, a state feedback controller is designed via polynomial method for a double inverted pendulum. The polynomial method is first extended into state space. Then based on the equations of motion, the linearized state space model of double inverted pendulum is derived near the upright balance position. The state feedback controller is designed via polynomial method where Ackermann's formula...
As low-cost depth cameras are released recently, motion data containing 3D coordinates of skeleton joints during a time period can be directly captured. Nevertheless, analyzing the motion data is usually a challenging problem and requires huge computation costs because of the high-dimensionality. Among several alternatives, the self-organizing map (SOM) is verified to be an effective technique to...
Functional effective muscle (FEM) theory can derive characteristics of limbs theoretically from detailed muscular strength. However, it is difficult to measure each muscular strength directly from outside the body. This paper proposes a new method for the estimation of muscular strength from maximum output force distribution at the end-effector of a limb. The proposed estimation method based on FEM...
This paper describes a novel approach to construct a mapping function between a given speaker pair using probability density functions (PDF) of matrix variate. In voice conversion studies, two important functions should be realized: 1) precise modeling of both the source and target feature spaces, and 2) construction of a proper transform function between these spaces. Voice conversion based on Gaussian...
For the presence of the multi-path propagation, it is difficult for us to estimate the elevation of a low-height target. In this paper, a new method for the joint estimation of the target height and the reflecting surface height is proposed based on multichannel digital array radar. According to the model of multi-path propagation in low angle tracking, the joint estimation is obtained by minimizing...
For the signal subspace projection and the joint pixel method, the information of the pixels adjacent to the reference pixel is sufficiently used for suppressing the clutter. Therefore, analyzing the relationship and comparing the performance of both the methods have a great value for the design of the multi-channel SAR-GMTI system. In this paper, the mathematical modeling of both the methods above...
A sparse-training-sequence-aided orthogonal frequency division multiplexing system is proposed to enable channel estimation and data detection without being affected by carrier frequency offset (CFO) effect. With the aid of the sparse training sequence, an approximate maximum likelihood estimation on CFO effect and channel response is developed to retrieve the CFO and channel response information...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.